Programmed instruction versus meaningful learning theory in teaching basic structured query language (SQL) in computer lesson

The purpose of this study was to investigate the effects of two different methods on primary school teacher candidates’ academic achievements and attitudes toward computer-based education, and to define their views on these methods. Both the first experimental group, programmed instruction (PI), and the second experimental group, meaningful learning (ML), included 36 students separately. While a significant difference was found between the groups regarding academic achievements, no significant difference was found between the groups’ attitude scores. There was no significant difference between the academic achievements of the students according to their genders in both groups. In addition, while there was no significant difference between the pre-test and post-test attitudes of students in the PI group, a significant difference was determined in the ML group. Generally, in the PI group, students considered the method effective but boring. Besides, students in the ML group had positive views on the method.     

Effects of teaching and learning styles on students’ reflection levels for ubiquitous learning

Ubiquitous learning (u-learning), in conjunction with supports from the digital world, is recognized as an effective approach for situating students in real-world learning environments. Earlier studies concerning u-learning have mainly focused on investigating the learning attitudes and learning achievements of students, while the causations such as learning style and teaching style were usually ignored. This study aims to investigate the effects of teaching styles and learning styles on reflection levels of students within the context of u-learning. In particular, we investigated the teaching styles at the dimensions of brainstorming and instruction and recall and the learning styles at the dimensions of active and reflective learning. The experiment was conducted with 39 fifth grader students at an elementary school in southern Taiwan. A u-learning environment was established at a butterfly ecology garden to conduct experiments for natural science courses. The experimental results of one-way ANCOVA show that those students who received a matching teaching–learning style presented a significant improvement in their reflection level. That is, matching the learning styles of students with the appropriate teaching styles can significantly improve students’ reflection levels in a u-learning environment.     

Building virtual cities,inspiring intelligent citizens: Digital games for developing students’ problem solving and learning motivation

This study investigates the effectiveness digital game-based learning (DGBL) on students’ problem solving, learning motivation, and academic achievement. In order to provide substantive empirical evidence, a quasi-experimental design was implemented over the course of a full semester (23 weeks). Two ninth-grade Civics and Society classes, with a total of 44 students (15–16 years old), were randomly assigned to one of two conditions: an experimental group (incorporating DGBL) and a comparison group (taught using traditional instruction). Two-way mixed ANOVA was employed to evaluate changes in problem solving ability and compare the effectiveness the two strategies, while ANCOVA was used to analyze the effects on learning motivation and academic achievement. The results of this study are summarized as follows: (1) The DGBL strategy was clearly effective in promoting students’ problem solving skills, while the control group showed no improvement. Additionally, data from the mid-test and post-test demonstrate that, as a higher order thinking skill, problem-solving requires a full semester to develop. (2). DGBL resulted in better learning motivation for students in the experimental group as compared to learners receiving TI. (3) Contrary to some suggestions that digital games could inhibit academic achievement, no statistically significant difference was found between the two groups. Most importantly, the quantitative improvement in problem-solving and learning motivation suggest that DGBL can be exploited as a useful and productive tool to support students in effective learning while enhancing the classroom atmosphere. Future research in DGBL should emphasize the evaluation of other higher order elements of the cognitive domain in terms of academic achievement outcomes and skills, such as critical and creative thinking.     

Design and development of an innovative individualized adaptive and intelligent e-learning system for teaching–learning of probability unit: Details of UZWEBMAT

In this study, an innovative adaptive and intelligent web based e-learning system, UZWEBMAT (Turkish abbreviation of Adaptive and INtelligent WEB based MAThematics teaching–learning system) was designed, developed and implemented. This e-learning system was intended for learning and teaching secondary school level permutation-combination-binomial expansion and probability subjects. Content which was prepared according to Turkish curriculum for secondary school mathematics course was transformed into learning objects in three different ways in accordance with VAK (Visual–Auditory–Kinesthetic) learning styles. Primary/secondary/tertiary learning styles of learners registering the system are determined and each learner receives the content appropriate for his/her dominant learning style. Also, they can be directed to contents of other styles according to their performances thanks to an expert system. Learning objects constituting the content were prepared according to constructivist approach. An active role for the learner was the purpose. Tips and intelligent solution supports within the learning objects were presented with expert system support to the learners. With this structure, UZWEBMAT bears the characteristics of intelligent tutoring system as well as an adaptive e-learning environment. All the movements of learners studying with UZWEBMAT are recorded and the necessary information is reported to both learners and teachers in a visualized way.     

Not just fun, but serious strategies: Using meta-cognitive strategies in game-based learning

The purpose of this study is to explore the effects of the meta-cognitive strategies on the academic and gaming achievements. Exploring the effects of those achievements on the social problem solving of students is also of interest. For this purpose, the MMORPG Gersang was used. The participants, consisting of ninth graders, played the game until they all reached the third level to ensure that they have the same gaming ability prior to gaming for the study. Three meta-cognitive strategies were developed: self-recording, modeling and thinking aloud. Those strategies are specially related to gaming activities and applied in pre-gaming activities, gaming activities, and post-gaming activities. Three meta-cognitive strategies were set as independent variables. The social problem solving ability was set as a mediating variable, and academic achievement and scores in the game were chosen as dependent variables. The path between meta-cognitive strategies and both academic achievement and game performance by mediating social problem solving abilities were discovered. The social problem solving ability, which is the mediating variable, affects the academic achievement and the game performance very strongly. These results imply that a commercial game playing in conjunction with meta-cognitive strategies can be an effective way to increase students’ performance both in learning and gaming by keeping them involved. Talking and observation activities such as thinking aloud and modeling are more effective than writing activities in enhancing the students’ achievements both in learning and gaming.     

The effects of computer-assisted material on students’ cognitive levels,misconceptions and attitudes towards science

The purpose of this study was to investigate the effects of a Computer-assisted Instruction Material (CAIM) related to “photosynthesis” topic on student cognitive development, misconceptions and attitudes. The study conducted in 2002–2003 academic year and was carried out in two different classes taught by the same teacher, in which there were fifty two 11th grade high school students, in central city of Trabzon in Turkey. An experimental research design including the photosynthesis achievement test (PAT), the photosynthesis concept test (PCT) and science attitude scale (SAS) was applied at the beginning and at the end of the research as pre-test and post-test. After the treatment, general achievement in PAT increased by 10% in favour of experiment group (EG) at (p < 0.05) significant level. Although the increase in cognitive development at knowledge level was 14.8% in the EG and 18.2% in the control group (CG), the development at comprehension and application levels were 19.8–18.5 in the EG and 1.75–0.86 in the CG, respectively. This result showed that using CAIM in teaching photosynthesis topic was very effective for students to reach comprehension and application levels of cognitive domain. However, CAIM did not change major misconceptions related to photosynthesis topic in EG as expected. Meanwhile, same misconceptions in EG about source of energy for plants and their nutrition were decreased more than CG. It was also found out that there was little change about students’ attitudes towards science education in both groups.     

Analyzing academic achievement of junior high school students by an improved rough set model

Rough set theory (RST) is an emerging technique used to deal with problems in data mining and knowledge acquisition. However, the RST approach has not been widely explored in the field of academic achievement. This investigation developed an improved RST (IMRST) model, which employs linear discriminant analysis to determine a reduct of RST, and analyzed the academic achievements of junior high school students in Taiwan. An interactive interface was created so that students could answer questions to predict their academic achievement and they could learn essential skills for improving their academic achievement. Empirical results showed that the IMRST model selects crucial information from data without predetermining factors and can provide accurate rates for inference rules. Hence, the developed IMRST model is a promising alternative for analyzing academic achievement data.     

How flipped learning based on the cognitive theory of multimedia learning affects students' academic achievements

The study aims to identify the effect of a flipped classroom approach designed according to the cognitive theory of multimedia learning on the academic achievements of eighth‐grade students (aged 14 years) in Saudi Arabia in computer science. To this end, a quasi‐experimental design was used, with a sample of 67 students; 33 students were assigned to the experimental group, whereas 34 comprised the control group. The experimental group was subjected to the flipped classroom approach, whereas the control group was given direct instruction. To measure student achievements, an instrument that measures cognitive skills based on Revised Bloom's taxonomy levels was designed. Findings revealed a positive effect on the experimental group's achievement levels with respect to Bloom's higher order thinking skills, that is, applying, analysing, and evaluating. No difference was found between the two groups in terms of academic achievements at the remembering and understanding levels of Bloom's taxonomy. Moreover, learners with low prior knowledge showed a higher improvement in academic achievements compared with those with high prior knowledge. This corresponds to the assumption of the cognitive theory of multimedia learning that learners with low prior knowledge would benefit from its principles more than learners with high prior knowledge.     

Effects of the application of graphing calculator on students’ probability achievement

A Graphing Calculator (GC) is one of the most portable and affordable technology in mathematics education. It quickens the mechanical procedure in solving mathematical problems and creates a highly interactive learning environment, which makes learning a seemingly difficult subject, easy. Since research on the use of GCs for the teaching and learning of probability in institutions of higher learning appears to be limited, a study was conducted to examine the effects of the use of GCs on students’ performance in probability. The study involved 65 pre-university students in a private institution of higher learning in Malaysia. Hypothesis testing showed that there is a significant difference in the mean score of the post achievement test between the experimental and control groups. Students in the experimental group displayed higher achievement than their peers in the control group in the Probability Achievement Test (PAT). Findings also showed that the use of GCs benefits students of all levels, that is, high, average and low mathematics achievers. Qualitative data provides a more lucid picture of how GCs aid in improving understanding and performance. Recommendations made will provide researchers, policy-makers and educators an alternative means of enhancing the quality of probability education.     

Development of an adaptive learning system with two sources of personalization information

Previous research of adaptive learning mainly focused on improving student learning achievements based only on single-source of personalization information, such as learning style, cognitive style or learning achievement. In this paper, an innovative adaptive learning approach is proposed by basing upon two main sources of personalization information, that is, learning behavior and personal learning style. To determine the initial learning styles of the students, the [Keefe, J. W. (1987). Learning Styles: Theory and Practice. Reston, VA: National Association of Secondary School Principals.] questionnaire is employed in our approach. To more precisely reflect the learning behaviors of each student, the interactions and learning results of each student are analyzed when adjusting the subject materials. Based on the innovative approach, an adaptive learning system has been developed; moreover, an experiment was conducted to evaluate the performance of our approach. By analyzing the results from three groups of students using different adaptive learning approaches, it can be found that the innovative approach is helpful in improving both the learning achievement and learning efficiency of individual students.     

Effects of the handheld technology instructional approach on performances of students of different achievement levels

The handheld technology selected and the ways it is implemented influences the way mathematics is taught and learnt, which in turn generates positive effects in the mathematics education. This study was conducted to examine the effects of handheld technology instructional approaches on performance of students of different achievement levels in Probability at a private higher learning institution in Malaysia. A quasi-experimental study with non-equivalent control group design with pre-test and post-test design was conducted on a sample of 65 students. The sample was divided into the experimental group and control group. The handheld technology instructional approaches, i.e. teaching and learning approaches using the graphing calculator (GC) as a teaching and learning tool and the GC instructional worksheets, were employed in the teaching and learning of probability in the experimental group. The conventional teaching approach was adopted in the control group. Quantitative and qualitative methods were employed to collect and analyse data. Quantitative data was collected using the Probability Achievement Test (PAT). PAT was administered to both groups at the beginning and end of the study. Qualitative data was collected using students' journals. The results show that students, the high, average and low achievers, gained benefits when the handheld technology instructional approaches were used in learning Probability, particularly random variable, poisson distribution, binomial distribution and normal distribution.     

A contextual game-based learning approach to improving students' inquiry-based learning performance in social studies courses

Inquiry-based learning, an effective instructional strategy, can be in the form of a problem or task for triggering student engagement. However, how to situate students in meaningful inquiry activities remains to be settled, especially for social studies courses. In this study, a contextual educational computer game is developed to improve students' learning performance based on an inquiry-based learning strategy. An experiment has been conducted on an elementary school social studies course to evaluate the effects of the proposed approach on the inquiry-based learning performances of students with different learning styles. The experimental results indicate that the proposed approach effectively enhanced the students' learning effects in terms of their learning achievement, learning motivation, satisfaction degree and flow state. Furthermore, it is also found that the proposed approach benefited the “active” learning style students more than the “reflective” style students in terms of learning achievement. This suggests the need to provide additional supports to students with particular learning styles in the future.     

Integration into mathematics classrooms of an adaptive and intelligent individualized e-learning environment: Implementation and evaluation of UZWEBMAT

The purpose of this study is to design an adaptive and intelligent individualized e-learning environment based on learning style and expert system named UZWEBMAT and to evaluate its effects on students’ learning of the unit of probability. In the study, initially, learning objects were prepared in three different ways in relation to Visual–Auditory–Kinesthetic (VAK) learning style for each subject of the probability unit. These were appropriate for secondary school mathematics curricula. Then, they were transferred into the digital environment. Each student may follow a different course, and the solution supports s/he will get may also differ highlighting the individual learning. The sample of the study consists of 81 10th grade students from two high schools in Trabzon, Turkey. Qualitative and quantitative data were collected from students to answer research questions. Quantitative data were given as frequency distribution and percentages. Qualitative data were analyzed using qualitative data analysis methods. Results of the study indicated that opinions regarding UZWEBMAT are rather positive. Aiming at individual learning, UZWEBMAT provides the most appropriate environment for students. In addition, UZWEBMAT can be used as well to reinforce traditional classroom education.     

Effect of blended learning environment on transfer of learning: an experimental study

The main purpose of the study is to investigate the effect of the blended learning and face‐to‐face learning on students' academic achievements and transfer of learning. The first aim of the study is to analyse the students' academic achievements to determine the change of theoretical knowledge in terms of the instructional method applied in this study. However, students' performances during the learning process are not always a good indicator. Therefore, the second aim of the study is to examine transferring students' theoretical knowledge to their educational multimedia projects. For this purpose, 14 weeks of pre‐ and post‐test experimental study is designed. The study is administered through an educational technology course in which students learn how to develop educational multimedia materials. The participants are undergraduate pre‐service teachers; they are assigned randomly to the experimental and control group. While the experimental group has both online and classroom sessions, the control group has only face‐to‐face classroom sessions. Although there is no significant difference between the groups in terms of academic achievement, the students in the blended group are more successful in transferring their knowledge to their projects than the ones in the face‐to‐face group. In conclusion, the results show that the blended learning approach has a positive effect on the transfer of learning.     

The effects of GBL and learning styles on Chinese idiom by using TUI device

This study investigated how the integration of a game‐based learning strategy and a tangible user interface (TUI) device improves the learning achievement of fifth‐grade students in studying Chinese idioms. By using the sifting, and sorting, features of Sifteo Cubes, learners, via a gaming situation, manually composed the cubes to the correct idioms, and the system also provided the origins of the idioms, facilitating meaningful learning. A quasi‐experimental non‐equivalent control‐group design was conducted. Both the experimental and control groups were administered a pre‐test and post‐test, the Idiom Learning Performance Test (ILPT), to investigate the variations between the treatment and groups. Furthermore, the Index of Learning Style for Youth (ILSY) survey was administered to determine how different learning styles and learning strategies affect learning achievement. The results showed that, after the CILS was used, the post‐test scores were significantly higher than the pre‐test scores in the experimental group. In addition, the post‐test scores of active and visual learners were higher than the pre‐test scores, and were significantly higher than reflective and verbal learners. The results suggested that the CILS is suitable for active and visual learners. Recommendations for using the CILS and Sifteo Cubes in instruction and further direction research are provided.     

A formative assessment-based mobile learning approach to improving the learning attitudes and achievements of students

The advancement of mobile and wireless communication technologies has encouraged an increasing number of studies concerning mobile learning, in which students are able to learn via mobile devices without being limited by space and time; in particular, the students can be situated in a real-world scenario associated with the learning content. Although such an approach seems interesting to the students, researchers have emphasized the need for well-designed learning support in order to improve the students’ learning achievements. Therefore, it has become an important issue to develop methodologies or tools to assist the students to learn in a mobile learning environment. Based on this perspective, this study proposes a formative assessment-based approach for improving the learning achievements of students in a mobile learning environment. A mobile learning environment has been developed based on this approach, and an experiment on a local culture course has been conducted in southern Taiwan to evaluate its effectiveness. The experimental results show that the proposed approach not only promotes the students’ learning interest and attitude, but also improves their learning achievement.     

SCCR digital learning system for scientific conceptual change and scientific reasoning

This study reports an adaptive digital learning project, scientific concept construction and reconstruction (SCCR), that was developed based on the theories of Dual Situated Learning Model (DSLM) and scientific reasoning. In addition, the authors investigated the effects of an SCCR related to a “combustion” topic for sixth grade students conceptual change and scientific reasoning. An experimental research design including the Combustion Achievement Test (CAT), Scientific Reasoning Test (SRT) and Combustion Dependent Reasoning Test (CDRT) was applied for both experimental and conventional group students before, directly after, and after the sixth week of the research as pre-, post- and retention-test. Results indicated that the experimental group students significantly outperformed the conventional group students on both post- and retention- of CAT and CDRT scores. In addition, experimental group students performed better than conventional group students on the post-SRT scores. The success rate of conceptual change ranged from 70% to 100% for experimental group students for most web-based dual situated learning events. The nature of the scientific reasoning used by experimental group students mainly either made progression (PG) or maintain-correct (MTC) across most events from before to after web-based dual situated learning events. All of these results support the claim that students’ conceptual change their scientific reasoning ability can be promoted through an SCCR digital learning program.     

An adaptation algorithm for an intelligent natural language tutoring system

The focus of computerised learning has shifted from content delivery towards personalised online learning with Intelligent Tutoring Systems (ITS). Oscar Conversational ITS (CITS) is a sophisticated ITS that uses a natural language interface to enable learners to construct their own knowledge through discussion. Oscar CITS aims to mimic a human tutor by dynamically detecting and adapting to an individual's learning styles whilst directing the conversational tutorial. Oscar CITS is currently live and being successfully used to support learning by university students. The major contribution of this paper is the development of the novel Oscar CITS adaptation algorithm and its application to the Felder–Silverman learning styles model. The generic Oscar CITS adaptation algorithm uniquely combines the strength of an individual's learning style preference with the available adaptive tutoring material for each tutorial question to decide the best fitting adaptation. A case study is described, where Oscar CITS is implemented to deliver an adaptive SQL tutorial. Two experiments are reported which empirically test the Oscar CITS adaptation algorithm with students in a real teaching/learning environment. The results show that learners experiencing a conversational tutorial personalised to their learning styles performed significantly better during the tutorial than those with an unmatched tutorial.     

A cost-effective interactive 3D virtual reality system applied to military live firing training

The goal of the present study was to develop a cost-effective, man–machine digital interface, to improve students’ real-world firing range training, results, and achievement scores. A serious game-based learning environment was developed, integrating invisible laser infrared technology, 1:1 real-scale rifle guns with recoil effects, as well as 3D interactive virtual reality (VR) military training digital information content, to train students in military live firing. To evaluate the effectiveness of the proposed design, students’ performance, in terms of their learning achievement and learning motivation, was examined. One hundred and sixty high school students from Taiwan were divided into four individual groups of 40 students each, with one control group and three experimental groups (EG1, EG2, and EG3). The data were analyzed by one-way analysis of variance. The results of this cost-effective 3D VR showed significantly better learning motivation, learning outcomes, and positive impacts on users’ actual live firing achievement scores.