The learning effects of computer simulations in science education

This article reviews the (quasi)experimental research of the past decade on the learning effects of computer simulations in science education. The focus is on two questions: how use of computer simulations can enhance traditional education, and how computer simulations are best used in order to improve learning processes and outcomes. We report on studies that investigated computer simulations as a replacement of or enhancement to traditional instruction. In particular, we consider the effects of variations in how information is visualized, how instructional support is provided, and how computer simulations are embedded within the lesson scenario. The reviewed literature provides robust evidence that computer simulations can enhance traditional instruction, especially as far as laboratory activities are concerned. However, in most of this research the use of computer simulations has been approached without consideration of the possible impact of teacher support, the lesson scenario, and the computer simulation’s place within the curriculum.     

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.     

The use of computer technology in university teaching and learning: a critical perspective

Abstract  Despite huge efforts to position information and communication technology (ICT) as a central tenet of university teaching and learning, the fact remains that many university students and faculty make only limited formal academic use of computer technology. Whilst this is usually attributed to a variety of operational deficits on the part of students, faculty, and universities, this paper considers the wider social relations underpinning the relatively modest use of technology in higher education. The paper explores how university use of computer technology is shaped into marginalized and curtailed positions by a variety of actors. From the 'writing' of ICT at a national policy level through to the marginalization of ICT within the lived 'student experience', a consistent theme emerges where computer technology use is constructed in limited, linear, and rigid terms far removed from the creative, productive, and empowering uses which are often celebrated by educational technologists. In the light of such constraints, the paper considers how these dominant constructions of a peripheral and limited use of ICT may be challenged by the higher education community. In particular, it concludes by reflecting on current critical thinking about how educational technologists can foster a more expansive and empowered use of computer technology within university settings.     

Mapping the study of learning analytics in higher education

ABSTRACT

In recent years, the application of technological innovation in higher education has become more and more widely spread, and technological innovation has been improving the level of education. In the research of higher education with innovation technology, one of the main focuses is on the dynamic data which can lay a foundation for the analysis of educational activities by learning analytics. The dynamic data created by technological innovation will become the key basis for analytical research and development in higher education. The methods and analysis results of learning analytics will directly affect decision-making and strategy about higher education. In this paper, we use bibliometric and visualisation methods to review the literature, in order to highlight the development of learning analytics in higher education. Using bibliometric analysis, our study depicts the development process of the main methods used in learning analytics, and summarises the current situation in this field, which increases the level of understanding provided by those studies. Finally, we summarise the research hotspots and study trends, which will be useful for future study in this field.     

The effect of computer science on physics learning in a computational science environment

College and high-school students face many difficulties when dealing with physics formulas, such as a lack of understanding of their components or of the physical relationships between the two sides of a formula. To overcome these difficulties some instructors suggest combining simulations' design while learning physics, claiming that the programming process forces the students to understand the physical mechanism activating the simulation. This study took place in a computational-science course where high-school students programmed simulations of physical systems, thus combining computer science (CS) and mathematics with physics learning. The study explored the ways in which CS affected the students' conceptual understanding of the physics behind formulas. The major part of the analysis process was qualitative, although some quantitative analysis was applied as well. Findings revealed that a great amount of the time was invested by the students on representing their physics knowledge in terms of computer science. Three knowledge domains were found to be applied: structural, procedural and systemic. A fourth domain which enabled reflection on the knowledge was found as well, the domain of execution. Each of the domains was found to promote the emergence of knowledge integration processes (Linn & Eylon, 2006, 2011), thus promoting students’ physics conceptual understanding. Based on these findings, some instructional implications are discussed.     

Challenges and future directions of secure federated learning: a survey

Federated learning came into being with the increasing concern of privacy security, as people’s sensitive information is being exposed under the era of big data. It is an algorithm that does not collect users’ raw data, but aggregates model parameters from each client and therefore protects user’s privacy. Nonetheless, due to the inherent distributed nature of federated learning, it is more vulnerable under attacks since users may upload malicious data to break down the federated learning server. In addition, some recent studies have shown that attackers can recover information merely from parameters. Hence, there is still lots of room to improve the current federated learning frameworks. In this survey, we give a brief review of the state-of-the-art federated learning techniques and detailedly discuss the improvement of federated learning. Several open issues and existing solutions in federated learning are discussed. We also point out the future research directions of federated learning.     

On-line synchronous scientific argumentation learning: Nurturing students' argumentation ability and conceptual change in science context

The purpose of this study is to examine the difference in effectiveness between two on-line scientific learning programs – one with an argumentation component and one without an argumentation component – on students' scientific argumentation ability and conceptual change. A quasi-experimental design was used in this study. Two classes of 8th grade students (the experimental group) received the on-line scientific argumentation learning program about chemical reaction, and the other two classes of 8th grade students (the control group) received the same on-line scientific learning program about chemical reaction, but without argumentation, for two weeks. All 140 students were administered the scientific conception test, conceptual change test, and argumentation test before, one week after, and eight weeks after learning. In addition, the experimental group students' on-line argumentation process was collected. Results showed that the students of the experimental group significantly outperformed the control group, regardless of scientific conceptions, conceptual change, and argumentation. Regression results indicated that hold of scientific conceptions is the best predicator for students' conceptual change, followed by argumentation ability. The quantity and quality of scientific arguments that students generated in a series of argumentation questions improved across the four topics. In addition, students also successfully changed their conceptions from pre- to post-driving questions across four topics. This clearly demonstrates that students' argumentation ability and conceptual change were both facilitated through receiving the on-line Synchronous Argumentation science learning program.     

The effectiveness of adaptive difficulty adjustments on students' motivation and learning in an educational computer game

Computer games that adaptively adjust difficulty are used to continuously challenge players according to their abilities. The adjustment of difficulty occurs automatically in response to a game's ongoing assessment of a player's performance. This approach to difficulty adjustment is likely to be of value in educational computer games as a means of scaffolding learning for students. However, there is limited research evaluating the effectiveness of educational computer games with adaptive difficulty adjustment when compared to non-adaptive difficulty adjustment. To expand on this research a quasi-experimental study was designed to isolate the impact of the difficulty adjustment game element on motivation and learning. A total of 234 secondary school students were allocated to one of three activities involving learning about Spanish cognates: an adaptive difficulty adjustment game, an incremental difficulty adjustment game that was non-adaptive, and a written activity. The three learning activities were designed following the same learning and motivation theories. The two games were identical apart from the difficulty adjustment mechanism. The results for motivation indicated that all students experienced high levels and there was no significant difference between the three learning activities. The pre- and post-tests results for learning indicated that significantly higher learning outcomes were achieved by students who played the adaptive game. Analysis of a game log recording the correctness of students' responses indicated that the adaptive difficulty adjustment game, in contrast to the non-adaptive incremental difficulty adjustment game, provided a scaffolding structure to enhance student learning.     

Effects of traditional,blended and e‐learning on students' achievement in higher education

The study investigates the effect of e‐learning, blended learning and classroom learning on students’ achievement. Two experimental groups together with a control group from Umm Al‐Qura University in Saudi Arabia were identified randomly. To assess students’ achievement in the different groups, pre‐ and post‐achievement tests were used. The results of the study (N = 148) show that there was a statistically significant difference between the three methods in terms of students’ achievement favouring the blended learning method (n = 55) with a substantial effect size of 1.34 (Hedges’ g). No significant difference was found between the e‐learning (n = 43) and traditional learning groups (n = 50) in terms of students’ achievement and with a negligible effect size of 0.02.     

Chinese undergraduate students' perceptions of mobile learning: Conceptions,learning profiles,and approaches

Close links between students' conceptions of and approaches to learning were established in the past research. However, only a few quantitative studies investigated this relationship particularly with regard to mobile learning (m‐learning). The correlation between learners' conceptions and approaches to m‐learning was analysed using a partial least squares analysis applied to data obtained from a sample of 971 undergraduate students in China. The results indicated that students' conceptions of m‐learning could be classified into reproductive, transitional, and constructive levels. Students may hold multiple m‐learning applications than a predominant one; hence, examining m‐learning as one monolithic entity may provide limited information. Latent profile analysis identified four learning profiles based on students' preferred m‐learning applications: passive, mixed, surface‐supportive, and high‐engagement.. Moreover, a general trend was observed, whereby students with reproductive and surface‐supportive learning profiles showed a tendency to adopt surface approaches, whereas those expressing constructive and mixed learning profiles were more inclined to adopt deep approaches. Interestingly, students with transitional conceptions and high‐engagement learning profiles tended to take both surface and deep approaches.     

Analytics of learning tactics and strategies in an online learnersourcing environment

Background

The use of crowdsourcing in a pedagogically supported form to partner with learners in developing novel content is emerging as a viable approach for engaging students in higher-order learning at scale. However, how students behave in this form of crowdsourcing, referred to as learnersourcing, is still insufficiently explored.

Objectives

To contribute to filling this gap, this study explores how students engage with learnersourcing tasks across a range of course and assessment designs.

Methods

We conducted an exploratory study on trace data of 1279 students across three courses, originating from the use of a learnersourcing environment under different assessment designs. We employed a new methodology from the learning analytics (LA) field that aims to represent students' behaviour through two theoretically-derived latent constructs: learning tactics and the learning strategies built upon them.

Results

The study's results demonstrate students use different tactics and strategies, highlight the association of learnersourcing contexts with the identified learning tactics and strategies, indicate a significant association between the strategies and performance and contribute to the employed method's generalisability by applying it to a new context.

Implications

This study provides an example of how learning analytics methods can be employed towards the development of effective learnersourcing systems and, more broadly, technological educational solutions that support learner-centred and data-driven learning at scale. Findings should inform best practices for integrating learnersourcing activities into course design and shed light on the relevance of tactics and strategies to support teachers in making informed pedagogical decisions.     

Students and instructors perspective on blended synchronous learning in a Canadian graduate program

Blended synchronous learning (BSL) represents several contexts that enable to bring remote students into the classroom, in real time, by the means of videoconferencing, web conferencing and virtual world. As BSL seems to be more and more implemented in many higher education institutions, especially in the current context of the COVID-19 pandemic, and given the recent interest and scarce published research in BSL, more studies are needed on this kind of learning. The purpose of this research was to explore students and instructors perspective regarding their experience in BSL, according to three dimensions: pedagogy, technology and organization/logistics. To meet the study objective, a qualitative methodology was adopted. The study participants were remote students (n = 4) and face-to-face students (n = 4) enrolled in a graduate program in education offering only blended synchronous courses, and instructors (n = 5) in this program. Semi-structured interviews were selected as the data collection method. Nine sub-themes in reference to the three dimensions emerged from the study participants. They have also highlighted some challenges associated with BSL. The results reported in this study should provide faculties and higher education administrators with additional information and guidance, based on empirical data, on the use of BSL if they wish to implement it in academic programs. Moreover, in regard to the challenges revealed by the study participants, the results will permit to surpass the obstacles when implementing BSL successfully.     

The impact of media on collaborative learning in virtual settings: The perspective of social construction

This study examines an alternative function of information sharing – social construction of meaning. Drawing on social construction, social interaction, and task closure theories, we explored the influence of both the media environment in which students are situated and the medium that group members choose to communicate with one another on the intricate relationships among breadth of information sharing, depth of information sharing, and performance of computer-supported collaborative learning (CSCL). A total of 126 students participated in the experiment – including 63 students (15 groups of four students and one group of three students) in the control and experimental groups respectively. Our findings show that most of the proposed hypotheses are supported. Intersubjective interpretation underlies groups information sharing and plays a key role in student learning performance. Evidence shows that when facing a relatively complex task in multimedia environments, students who choose to utilize a medium lower in social presence (i.e., electronic information sharing) are more likely to achieve task closure than a medium higher in social presence (i.e., verbal information sharing). This in turn leads to higher learning performance. The implications for both theory and pedagogy are also discussed.     

Promoting argumentation in primary science contexts: an analysis of students' interactions in formal and informal learning environments

The paper reports on the outcomes of a study that utilized a graphical tool, Digalo, to stimulate argumentative interactions in both school and informal learning settings. Digalo was developed in a European study to explore argumentation in a range of learning environments. The focus here is on the potential for using Digalo in promoting argumentative interactions of students in primary science, first, in a school‐based context of students investigating and learning about electricity, and second, in a hands‐on science discovery centre where students are interacting with different scientific phenomena. Data sources included observations of students using Digalo in the two contexts and the resultant Digalo maps. Analysis of observations focused on students' engagement and interactions, and of Digalo maps in terms of the process and content of argumentation. A previously developed level system was used to evaluate the process of argumentation. The study has revealed some limitations of Digalo as a teaching resource, but has provided insights into ways in which students build their knowledge with the help of Digalo as they interact with each other and with scientific phenomena.