Peer interaction: the experience of distance students at university level

This study investigates how university students on distance learning courses experience interaction with their peers. Students on two distance learning courses at The Open University (UK) were interviewed, to investigate learners' experience of interaction on these courses. The analysis, using a grounded‐theory approach, reveals disparities between course designers' and students' reasons for integrating computer‐mediated interaction within the courses. It draws attention to the significant affective challenges that online students face when working together, and demonstrates a need to pay attention to their problems with self‐presentation. The study also reinforces the socio‐cultural view that it is important to consider the various contexts in which online learning takes place. Distance students have opportunities to structure their own learning contexts, and this allows them to source face‐to‐face learning interaction and other forms of support as they engage with individuals in their everyday environment.     

The influences of a two-tier test strategy on student learning: A lag sequential analysis approach

Recently, programming skills have become a core competence. Many teaching strategies were developed to improve programming skills. Among them, online tests were widely applied to enhance students learning. Nonetheless, they may not be able to engage students in deep thinking and reflections. Thus, a two-tier test strategy was proposed to address this issue. However, previous research mainly focused on investigating the effectiveness of the two-tier test strategy but there is a lack of studies that investigate why the two-tier test approach is effective. To this end, we developed an online test, where the two-tier test strategy was implemented. Additionally, an empirical study was conducted to explore the influences of the two-tier test approach on students' learning performance and behavior patterns. Pre-test and post-test scores were applied to assess students' learning performance while a lag sequential analysis was used to analyze behavior patterns. Regarding learning performance, the proposed two-tier test can improve students' programming skills. Regarding behavior patterns, the two-tier test approach facilitates students to develop a learning by reviewing strategy, which is useful to improve their programming skills.     

A concept map-embedded educational computer game for improving students' learning performance in natural science courses

Many recent studies have reported the benefits of educational computer games in promoting students' learning motivations. On the other hand, however, the effect of digital game-based learning in improving students' learning performance has been questioned. Several previous studies have reported that without properly integrating learning strategies into gaming scenarios, the effectiveness of educational computer games could be limited, or may be even worse than that of the conventional technology-enhanced learning approach. In this study, a concept map-embedded gaming approach is proposed for developing educational computer games by integrating concept mapping as part of the gaming scenarios to help students organize what they have learned during the game-based learning process. Moreover, a role-playing game has been developed for an elementary school natural science course based on the proposed approach. From the experimental results, it is found that the concept map-embedded gaming approach can significantly improve the students' learning achievement and decrease their cognitive load. Moreover, the students who learned with the proposed approach revealed a significantly higher degree of perceived usefulness than those who learned with the conventional game-based learning approach.     

Unpacking students' conceptualizations through haptic feedback

While it is clear that the use of computer simulations has a beneficial effect on learning when compared to instruction without computer simulations, there is still room for improvement to fully realize their benefits for learning. Haptic technologies can fulfill the educational potential of computer simulations by adding the sense of touch. Visuohaptic simulations may not only help students visualize these concepts, but they may also have the capability of enriching the learning experience and enhancing retention. To provide additional insights about how students conceptualize abstract and difficult concepts in science, this study proposes a sequencing approach. The research questions are: (1) what are undergraduate students' ways of conceptualizing electric fields through haptic feedback? And (2) what are undergraduate students' perceptions of using visuohaptic simulations for their learning of electric force concepts? Participants included nine undergraduate students who participated in a think aloud procedure. Data were analysed qualitatively using open coding followed by axial coding. The results suggest that students' conceptualized electric force concepts through embodied haptic experiences by inferring force–distance relationship, sign inference, shape of field and indirectly inferring the concept of electric potential. Students also perceived the value of using visual plus haptic simulations to help them understand and retain concepts.     

Efficiency of learning environment using GeoGebra when calculus contents are learned in collaborative groups

In this paper we present a modern approach of teaching mathematics based on the computer supported collaborative learning (CSCL) of calculus contents. The collaborative learning was used in calculus course at the University of Novi Sad, Serbia, for examining functions and drawing their graphs. In 2012 the authors decided to improve the collaborative learning introducing GeoGebra application. Small four member groups were formed by using Kagan's (1994) principles. Two groups of students, the experimental, and the control one were observed. The students in the experimental group learned with the help of GeoGebra, and the students in the control group learned without using GeoGebra.Comparison between those two groups of the first year calculus students, regarding their way of learning and the results achieved, is described below. Before the students' collaborative learning, they were tested with a pre-test and their knowledge necessary for examining functions was verified. The pre-test showed that there was no significant statistical difference between the experimental and the control group. The experimental group worked with the help of the computer and the control one without it. After the collaborative learning, the students were tested with a test (colloquium) and the results of the experimental group were significantly better than the results of students in the control group. At the end of the course the students did their exams (post-test), and the results of the experimental group were significantly better than the results of students in the control group.Some students from the experimental group had to answer questions in an interview related to the use of GeoGebra during their collaborative learning. In order to see the students' difficulties in solving problems, students in the experimental group were asked to cross out incorrect parts of solutions, not to erase them. The teachers reviewed the students' tasks done during the collaborative learning and after that the students who had corrected their mistakes were invited for an interview about using GeoGebra for overcoming their difficulties. Based on the students' results in the tests, answers in the questionnaire and in the interview, it can be concluded that GeoGebra has enabled an easier learning of this material. The GeoGebra package enables the students to check whether each step in the process of solving a task was correctly done or not. The results of our research show that GeoGebra can help those students having insufficient knowledge (necessary for solving those tasks) to improve it.We can say that our research shows that the students' learning achievement in examining functions and drawing their graphs is better when they use GeoGebra, working in collaborative groups than without using it. Also, GeoGebra enables creation of effective learning environment for examining functions and drawing their graphs.     

Threshold concepts,conceptions and skills: Teachers' experiences with students' engagement in functions

Threshold concepts have been characterised in the literature as jewels in the curriculum as they can inform teaching and learning practices. Therefore, identifying and addressing threshold concepts in any discipline is critical. The aim of the current study is to explore the existence of threshold concepts in computer programming and specifically with regard to the area of functions. Based on our previous works in which we identified 11 potential threshold concepts in functions by employing the Delphi method and seven misconceptions that students hold in this area of programming, the current study further explores computing teachers' experiences with students' engagement with 4 of the 11 concepts using an interpretative phenomenological analysis of interviews. The analysis revealed that from these concepts, we could argue that parameters, parameter passing and return values likely form a threshold conception and procedural decomposition is a procedural threshold (threshold skill). The study presents our framework that lead us to the identification of these thresholds in computer programming, presents the computing teachers experiences with these concepts and concludes with the implication of these results on students' learning and teaching practices in computer programming.     

The effect of a graph‐oriented computer‐assisted project‐based learning environment on argumentation skills

The purpose of this quasi‐experimental study was to explore how seventh graders in a suburban school in the United States developed argumentation skills and science knowledge in a project‐based learning environment that incorporated a graph‐oriented, computer‐assisted application. A total of 54 students (three classes) comprised this treatment condition and were engaged in a project‐based learning environment that incorporated a graph‐oriented, computer‐assisted application, whereas a total of 57 students (three classes) comprised the control condition and were engaged in a project‐based learning environment without this graph‐oriented, computer‐assisted application. Verbal collaborative argumentation was recorded and the students' post essays were collected. A random effects analysis of variance (ANOVA) was conducted and a significant difference in science knowledge about alternative energies between conditions was observed. A multivariate analysis of variance (MANOVA) was conducted and there was a significant difference in counterargument and rebuttal skills between conditions. A qualitative analysis was conducted to examine how the graph‐oriented, computer‐assisted application supported students' development of argumentation skills and affected the quality of collaborative argumentation. The difference in argumentation structure and quality of argumentation between conditions might explain a difference in science knowledge as well counterargument and rebuttal skills (argumentation) between both conditions. This study concluded that a project‐based learning environment incorporating a graph‐oriented, computer‐assisted application was effective in improving students' science knowledge and developing their scientific argumentation skills.     

Assessment of programming language learning based on peer code review model: Implementation and experience report

The traditional assessment approach, in which one single written examination counts toward a student’s total score, no longer meets new demands of programming language education. Based on a peer code review process model, we developed an online assessment system called EduPCR and used a novel approach to assess the learning of computer programming languages. Using this approach, students peer review programs written by other students, share ideas and make suggestions to achieve an objective of collaborative and interactive learning. Teachers assess and give scores to students based on their performance in writing, reviewing and revising programs and their abidance to a peer code review process. After using this approach in two courses in two consecutive semesters, we observed significant improvements of student learning in various aspects. We also conducted two questionnaire surveys and two interviews. The survey data and the interview report indicated that this assessment approach demonstrates high practical values in assessing student learning outcomes in programming languages. Additionally, this approach leads to several interesting research topics for future research in this field.     

Analysis of learners' navigational behaviour and their learning styles in an online course

Providing adaptive features and personalized support by considering students' learning styles in computer‐assisted learning systems has high potential in making learning easier for students in terms of reducing their efforts or increasing their performance. In this study, the navigational behaviour of students in an online course within a learning management system was investigated, looking at how students with different learning styles prefer to use and learn in such a course. As a result, several differences in the students' navigation patterns were identified. These findings have several implications for improving adaptivity. First, they showed that students with different learning styles use different strategies to learn and navigate through the course, which can be seen as another argument for providing adaptivity. Second, the findings provided information for extending the adaptive functionality in typical learning management systems. Third, the information about differences in navigational behaviour can contribute towards automatic detection of learning styles, helping in making student modeling approaches more accurate.     

The application of Simulation‐Assisted Learning Statistics (SALS) for correcting misconceptions and improving understanding of correlation

Simulation‐based computer assisted learning (CAL) is recommended to help students understand important statistical concepts, although the current systems are still far from ideal. Simulation‐Assisted Learning Statistics (SALS) is a simulation‐based CAL that is developed with a learning model that is based on cognitive conflict theory to correct misconceptions and enhance understanding of correlation. In this study, a mixed method (embedded experiment model) was utilized to examine the effects of SALS‐based learning compared with lecture‐based learning. The sample was composed of 72 grade‐12 students, who were randomly assigned to either the experimental group or the comparison group. The findings reveal that the SALS‐based learning approach is significantly more effective than lecture‐based learning, in terms of correcting students' misconceptions and improving their understanding of correlation. The study also uses quantitative and qualitative data to examine how the learning model of the SALS‐based learning approach contributes to the enhanced learning outcomes. Finally, practical suggestions were made with regard to directions for future studies.