Effects of learning support in simulation-based physics learning

This paper describes the effects of learning support on simulation-based learning in three learning models: experiment prompting, a hypothesis menu, and step guidance. A simulation learning system was implemented based on these three models, and the differences between simulation-based learning and traditional laboratory learning were explored in the context of physics studies. The effects of the support type on learning performance were also quantified. In second-year junior high school students it was found that the outcome for learning about the basic characteristics of an optical lens was significantly better for simulation-based learning than for laboratory learning. We also investigated the influences of different learning models on the students’ abstract reasoning abilities, which showed that the different learning models do not have different effects on individuals with different abstract reasoning abilities. However, we found that students who are better at higher abstract reasoning benefit more from simulation-based learning, and also that the learning results are better for experiment prompting and a hypothesis menu than for step guidance.     

A cloud-based learning environment for developing student reflection abilities

Students learn new knowledge effectively through relevant reflection. Reflection affects how students interact with learning materials. Studies have found that good reflection abilities allow students to attain better learning motivation, comprehension, and performance. Thus, it is important to help students develop and strengthen their reflection abilities as this can enable them to engage learning materials in a meaningful manner. Face-to-face dialectical conversations are often used by instructors to facilitate student reflection. However, such conventional reflection methods are usually only usable in classroom environments, and could not be adopted for distance learning or after class. Cloud computing could be used to solve this issue. Instructor guidance and prompting for initiating reflection could be seamlessly delivered to the students’ digital devices via cloud services. Thus, instructors would be able to facilitate student reflective activities even when outside the classroom. To achieve this objective, this study proposed a cloud-based reflective learning environment to assist instructors and students in developing and strengthening reflection ability during and after actual class sessions. An additional experiment was conducted to evaluate the effectiveness of the proposed approach in an industrial course. Results show that the learning environment developed by this study is able to effectively facilitate student reflection abilities and enhance their learning motivation.     

Effects of abstract and concrete simulation elements on science learning

Contemporary evidence on the effectiveness of concrete and abstract representations in science education is based solely on studies conducted in college context. There it has been found that learning with abstract representations produces predominantly better outcomes than learning with concrete representations and combining the representations can be even more productive. In the present study, 52 elementary school students used a computer simulation to discover the basic principles of electric circuits. The perceptual concreteness of simulation elements either remained concrete or switched from concrete to abstract during the learning. In order to compare the relative effectiveness of the learning conditions and assess the changes in students' conceptual understanding, the students completed a subject knowledge assessment questionnaire before and after learning with the simulation. According to the results, the students gained a better understanding of the circuits by learning with constantly concrete simulation elements than switching from concrete to abstract elements during the learning. Constantly concrete elements also enhanced the learning process by reducing the learning times. The outcomes of the study suggest that the effects of concrete and abstract representations in science education are notably different in elementary school context as compared with college contexts.     

Supporting scientific discovery learning in a simulation environment

Abstract Until recent times, most studies on supporting simulation-based scientific discovery learning adopted the ad hoc strategies-oriented approach. This paper makes a systematic analysis of the internal conditions of scientific discovery learning to propose a triple scheme for learning support design that includes interpretative support (IS), experimental support (ES), and reflective support (RS) . The experiment was conducted with 78 students (aged from 12 to 13 years) to examine the effects of the IS and ES using a 2x2 between-subjects design. The main results were: significant effects were observed for IS on the post-test of intuitive understanding, flexible application and knowledge integration; no main effect was demonstrated for ES, and there was a marginally significant interactive effect for ES and IS on the intuitive understanding test. A process analysis showed that the successful learners had designed more well-controlled experiments than the failing ones. Learning support in a simulation environment should be directed toward the three perspectives to invite meaningful, systematic and reflective discovery learning.     

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.     

Technology-assisted learning: a longitudinal field study of knowledge category, learning effectiveness and satisfaction in language learning

Abstract   A field experiment compares the effectiveness and satisfaction associated with technology-assisted learning with that of face-to-face learning. The empirical evidence suggests that technology-assisted learning effectiveness depends on the target knowledge category. Building on Kolb's experiential learning model, we show that technology-assisted learning improves students' acquisition of knowledge that demands abstract conceptualization and reflective observation but adversely affects their ability to obtain knowledge that requires concrete experience. Technology-assisted learning better supports vocabulary learning than face-to-face learning but is comparatively less effective in developing listening comprehension skills. In addition, according to empirical tests, perceived ease of learning and learning community support significantly predict both perceived learning effectiveness and learning satisfaction. Overall, the results support our hypotheses and research model and suggest instructors should consider the target knowledge when considering technology-assisted learning options or designing a Web-based course. In addition, a supportive learning community can make technology-assisted learning easier for students and increase their learning satisfaction.     

Examining the effect of the computational models on learning performance,scientific reasoning,epistemic beliefs and argumentation: An implication for the STEM agenda

Computational experiment approach considers modelling as the essential feature of Inquiry-Based Science Education (IBSE) where the model and the computer take the place of the “classical” experimental set-up and simulation replaces the experiment (Landau, Páez, & Bordeianu, 2008).Modelling, as a pedagogical tool, involves the model construction, the exploration of model characteristics and the model application to a specific problem, resembling authentic activities of scientists and mathematicians (Herbert, 2003). Jonassen and Strobel (2006) state that in addition to modelling domain knowledge, learners can apply modelling skills in different ways: by modelling domain knowledge, by modelling problems (constructing problem spaces), by modelling systems and by modelling semantic structures. The purpose of this study was to explore the effects of the Computational Experiment Mathematical Modelling (CEMM) approach on University students': a) reasoning abilities, b) learning performance, c) epistemological beliefs, and d) argumentation. Students worked in a learning environment which contained applications in Physics created by the author and all of them were based on mathematical models, as the model was considered as the fundamental unit of instruction (Hestenes, 1999). Fifty (50) pre-service primary school university students participated in this project and results indicated a strong relationship between students' learning performance, performance in the scientific reasoning abilities test, epistemic beliefs and the ability to use arguments during computational experiments. This paper suggests an implementable integration strategy that uses mathematical models for physics phenomena that are developed using algorithms, aiming to deepen students' conceptual understanding and scientific reasoning. After completing the course, the mechanics baseline test (MBT) and a test on Heat were administered. The results indicated that there was a significant difference in problem-solving skill test mean scores, as measured by the MBT, and the test on Heat among concrete, formal and postformal reasoners. Overall, this study provides evidence that scientific reasoning has a strong impact to learning performance, scientific reasoning, epistemological beliefs and argumentation while the methodology of the Computational Experiment provides essential tools to students to implement Inquiry based scenario. Students developed their scenarios using an open source repository using the computational experiment approach and created their experiments using the Argument-Driven Inquiry (ADI) laboratory approach.Results have implications for the effectiveness of the computational experiment as a methodology to be included in the STEM agenda.     

Effects of a metacognitive support device in learning environments

Successful learning is mainly based on metacognitive activities which have to be performed and constantly monitored during learning. Research reveals that many learners have difficulties in performing such metacognitive activities spontaneously, which most probably results in lower learning outcomes. The aim of this study is to experimentally analyse the effects of a metacognitive support device combined with a paper-based prompting scheme. With this support device, students are instructed to activate their repertoire of metacognitive knowledge and skills which should further enhance learning and transfer.     

Assistance and possibilities: Analysis of learning-related factors affecting the online learning satisfaction of underprivileged students

Online learning is used for different purposes such as the actualization of equal opportunity in education or excellence in education. In Korea, nationwide online learning has been launched since 2005 to boost the self-directed learning capabilities and academic achievement of underprivileged students. The purpose of this study was to examine factors affecting the online learning satisfaction of underprivileged students. The subjects in this study were 1043 students and 915 underprivileged students. The underprivileged students were found to be more satisfied with online learning than the students, and the students who were under the guidance of their online homeroom teachers (hereinafter called the students of class type) expressed better satisfaction than the others who studied on their own (hereinafter called the students of self-study type). And the learning support function (F3) was identified as the variable that exerted the largest influence on the satisfaction level of the underprivileged students. This study was significant in that it attempted to suggest what kind of assistance should be provided to raise the online learning satisfaction of underprivileged students and to set up learning assistance models geared toward underprivileged students by covering diverse relevant elements without leaning toward any particular one.     

The impact of team‐based learning on students with different self‐regulated learning abilities

Team‐based learning (TBL) stresses applying knowledge rather than absorbing knowledge in class; studies have investigated the use of TBL and its merits in different teaching courses (e.g., medical science and business). TBL is most effective when students learn autonomously before class. However, the ability of autonomous learning is highly associated with the ability of self‐regulated learning (SRL); most importantly, not every student possesses good (or high) SRL ability. Nevertheless, few studies have compared the effectiveness of TBL in students with different SRL abilities. To address this issue, this study analyzed approximately 90 students, whose course teaching involves office application software (Microsoft Excel). This study also developed an online TBL system (called Online TBL) to facilitate performing TBL and to collect the learning behaviours of students with different (high or low) SRL abilities on each TBL stage. The analytical results show that compared with the low‐SRL students, the high‐SRL students were more prepared for class because they spent more reviewing material and had better scores on personal uploaded Excel and Individual Readiness Assurance Test. From the feedback of the peer evaluation, the results also show that the high‐SRL students received more credits than the low‐SRL students did. The questionnaire survey revealed that both low‐SRL and high‐SRL students had a favourable impression of TBL. Further discussion is given to explain the above results.     

The effect of reflective learning e-journals on reading comprehension and communication in language learning

This study focused on the use of reflective learning e-journals in a university web-based English as a foreign language (EFL) course. In the study, a multimedia-based English programme comprising fifteen different units was delivered online as a one-semester instructional course. Ninety-eight undergraduate students participated, and they were divided into two groups: the treatment group used reflective learning e-journals, while the control group completed content-related exercises. The study investigated the effects of reflective learning e-journals and how students used them to aid learning. Results show that when learning from web-based instruction, students who used reflective learning e-journals outperformed students who did not do so in terms of reading comprehension. Using reflective e-journals improved the academic performance of learners in the online course. In addition, journal writing students claimed that they also improved their organisational skills and writing abilities through their reflective learning e-journal writing and found the journal writing to be a very helpful tool in reviewing the course and preparing for the exam.     

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.     

Enhancing learning outcomes through self-regulated learning support with an Open Learner Model

Open Learner Models (OLMs) have great potential to support students’ Self-Regulated Learning (SRL) in Intelligent Tutoring Systems (ITSs). Yet few classroom experiments have been conducted to empirically evaluate whether and how an OLM can enhance students’ domain level learning outcomes through the scaffolding of SRL processes in an ITS. In two classroom experiments with a total of 302 7th- and 8th-grade students, we investigated the effect of (a) an OLM that supports students’ self-assessment of their equation-solving skills and (b) shared control over problem selection, on students’ equation-solving abilities, enjoyment of learning with the tutor, self-assessment accuracy, and problem selection decisions. In the first, smaller experiment, the hypothesized main effect of the OLM on students’ learning outcomes was confirmed; we found no main effect of shared control of problem selection, nor an interaction. In the second, larger experiment, the hypothesized main effects were not confirmed, but we found an interaction such that the students who had access to the OLM learned significantly better equation-solving skills than their counterparts when shared control over problem selection was offered in the system. Thus, the two experiments support the notion that an OLM can enhance students’ domain-level learning outcomes through scaffolding of SRL processes, and are among the first in-vivo classroom experiments to do so. They suggest that an OLM is especially effective if it is designed to support multiple SRL processes.     

Designing a technology‐enhanced flipped learning system to facilitate students' self‐regulation and performance

In recent years, the flipped classroom has become prevalent in many educational settings. Flipped classroom adopts a pedagogical model in which short video lectures are viewed by students at home before class so that the teacher can lead students to participate in activities, problem‐solving, and discussions. Yet the design or use of technology that employs planned instructional strategies with sustainable support of self‐regulation is scant. We propose a technology‐enhanced flipped language learning system (Flip2Learn) that provides facilitation and guidance for learning performance and self‐regulation. A quasi‐experimental study was carried out to examine whether Flip2Learn could enhance college students' self‐regulatory skills and later contribute to the learning performance in the flipped classrooms. The results showed that Flip2Learn not only better prepared students for flipped classrooms but also better promoted learning performance compared to the conventional flipped classrooms. The results of this research advanced our understanding of the dynamics of flipped classrooms and represented a revolutionary new approach to the technology‐enhanced learning for flipped classrooms.     

Using synchronous peer tutoring system to promote elementary students’ learning in mathematics

The face-to-face computer-supported collaborative learning has emerged as an important strategy to elementary students' learning. Few studies have explicitly incorporated the structured peer tutoring to the synchronous environment in mathematics. This study was aimed to explore the effects of the synchronous peer tutoring system on children's mathematics learning. In the project, there were 88 10-11-year-old students who peer tutored each other in mathematics in the face-to-face online environment for a year. Compared to the control group, students in the experimental group had significant gains in mathematics learning, especially in the arithmetic and application types of questions. This study demonstrated the positive effects of peer support via the online synchronous learning on students' self-concept and attitudes toward mathematics learning. The results indicated that the longer the vulnerable pupils engaged in peer tutoring online, the more they benefited from the process. The finding suggests that students demonstrate different mathematics reasoning skills when they are paired with peers at different levels of ability. These findings demonstrate that the synchronous peer tutoring system is an effective tool to enhance elementary students' learning in mathematics, as well as promote positive self-concepts.     

Self-directed learning in simulation-based discovery environments

SIMQUEST is an authoring system for designing and creating simulation-based learning environments. The special character of SIMQUEST learning environments is that they include cognitive support for learners which means that they provide learners with support in the discovery process. In SIMQUEST learning environments, a balance is sought between direct guidance of the learning process and sufficient freedom for learners to regulate the learning process themselves. This paper describes the basic mechanisms of the SIMQUEST learning and authoring environments. The functionality authors have in providing the learner with guidance and some of the experiences on how authors use these opportunities and learners employ the cognitive support are reported.     

Effects of different ratios of worked solution steps and problem solving opportunities on cognitive load and learning outcomes

A crucial challenge for instructional designers is to determine the amount of support that is most beneficial for learning. This experiment investigated effects of different ratios of worked solution steps (high assistance) and to-be-solved problem steps (low assistance) on cognitive skill acquisition in geometry. High-school students (N = 125) worked on a geometry lesson in a Cognitive Tutor under five different ratios (from zero worked steps and five to-be-solved steps to four worked steps and one to-be-solved step). Effects on cognitive load and learning outcomes were assessed. We expected the effectiveness of different ratios to vary with the type of learning outcomes (i.e., procedural vs. conceptual knowledge) and the difficulty of the to-be-learned principles. Results showed that for procedural knowledge (but not for conceptual knowledge) problem solving alone was most beneficial for the acquisition of procedural knowledge related to an easy principle. For a difficult principle, no ratio of worked steps and problem solving showed an advantage over another. Problem solving induced more extraneous load than studying worked examples. Thus, in determining optimal amounts of guidance type of knowledge and difficulty of the single to-be learned knowledge chunks should be considered.     

When a game supports prevocational math education but integrated reflection does not

The present study addressed the effectiveness of an educational math game for improving proportional reasoning in prevocational education, and examined the added value of support in the form of reflection. The study compared four conditions: the game with reflection prompts, the game with reflection prompts plus procedural information, the game with procedural information only and the game without additional support. It was found that students' proportional reasoning skill improved after playing the game. The game managed to target prevocational students with low prior knowledge, a group that has the potential to understand proportional reasoning but has not yet encountered the right learning situation to live up to their potential. However, it was also found that students need to be computational fluent to profit from the game. Furthermore, no added value of the support was found. The way the support was structured may have been too demanding for most of the students. The fact that the prevocational students (and specifically those with low prior knowledge) improved by playing the game is noteworthy, because the topic of proportional reasoning is demanding for this group of students who often have lower abilities as well as in some cases a high resistance to learning.     

The influence of learner-generated domain representations on learning combinatorics and probability theory

The aim of the current study was to examine the effects of providing support in the form of tools for constructing representations, and in particular the differential effects of the representational format of these tools (conceptual, arithmetical, or textual) in terms of perceived affordances and learning outcomes. The domain involved was combinatorics and probability theory. A between-subjects pre-test–post-test design was applied with secondary education students randomly distributed over four conditions. Participants completed the same tasks in a simulation-based learning environment. Participants in three experimental conditions were provided with a representational tool that could be used to construct a domain representation. The experimental manipulation concerned the format of the tool (conceptual, arithmetical, or textual). Participants in a control condition did not have access to a representational tool. Data from 127 students were analyzed. It was found that the construction of a domain representation significantly improved learning outcomes. The format in which students constructed a representation did not directly affect learning outcomes or the quality of the created domain representations. The arithmetical format, however, was the least stimulating for students to engage in externalizing their knowledge.