Examining the role of computer‐supported knowledge‐building discourse in epistemic and conceptual understanding

This study characterized students' online collaborative discourse from a theory‐building perspective and examined its relation to epistemic and conceptual understanding. Fifty‐two fifth graders' Knowledge Forum discussions on electricity were analysed. Discourse moves were coded within the inquiry threads, and two key epistemic patterns were identified: problem‐centred uptake and theory‐building moves. Analysis showed that higher‐quality discourse threads included more problem‐centred uptake moves in which ideas were built more coherently on each other to address the central problem. There were also more theory‐building moves on explanation and sustain inquiry. We also examined the relationship between discourse moves and conceptual‐epistemic understanding. Regression analyses showed that problem‐centred uptake predicted epistemic cognition beyond prior epistemic cognition and that theory‐building moves on explanation predicted students' conceptual understanding beyond their prior science understanding. Implications for fostering more productive discourse and sophisticated epistemic cognitions using online discussion are discussed.     

An investigation of the validity of course‐based online assessment methods: The role of computer‐related attitudes and assessment mode preferences

The use of e‐assessment methods raises important concerns regarding the reliability and validity of these methods. Potential threats to validity include mode effects and the possible influence of computer‐related attitudes. Although numerous studies have now investigated the validity of online assessments in noncourse‐based contexts, few studies have addressed this issue in an educational context. The present study helps fill this research gap by investigating whether university students' computer‐related attitudes and assessment mode preferences were related to performance on a course‐based online assessment task. Overall, students' attitudes and preferences bore no greater relationships to performance on the online than offline module assessment tasks. This provides support for the validity of course‐based online assessment methods and should help alleviate educators' concerns and encourage more widespread adoption of these methods, helping address the issue of their slow uptake to date. Suggestions for follow‐up studies to corroborate and extend the current findings are offered.     

Integration of behavioural feedback in web‐based systems nutrition learning among university students

This study evaluated whether nutrition knowledge and healthy eating patterns can be achieved through web‐based systems, a secondary analysis of learning activities and assessment records. Students used online dietary recording systems to capture food intake data for 2 weeks. The first cohort used a food photo‐upload method and the second cohort used a food text‐searching (TS) method. We compared nutrient intake profiles, nutrition knowledge, and reflective journals of the 2 groups. Interaction effects were tested by 1‐way multivariate ANOVA on outcomes between groups (p < .05). More reflective and action statements in reflective journals were observed in the TS group. The photo‐upload group exhibited significant improvement in saturated fat, sodium, cholesterol, and fat consumption (p < .001), as compared with TS group. Web‐based dietary systems can be adopted in nutrition education to effectively enhance students' nutrition knowledge and help them to reflect on their dietary patterns.     

Influence of participation, facilitator styles, and metacognitive reflection on knowledge building in online university courses

Understanding how to foster knowledge building in online and blended learning environments is a key for computer-supported collaborative learning research. Knowledge building is a deeply constructivist pedagogy and kind of inquiry learning focused on theory building. A strong indicator of engagement in knowledge building activity is the socio-cognitive dynamic of epistemic agency, in which students exercise a higher level of agency for setting forth their ideas and negotiating fit with those of others rather than relying on their teacher. The purpose of this paper is to investigate the influence of (a) levels of participation, (b) facilitator styles and (c) metacognitive reflection on knowledge building in two blended, post-secondary education contexts. A study of a total of 67 undergraduate students suggest that high levels of participation, a supportive facilitator style, and ample opportunities for metacognitive reflection on the students’ own participation strategies are most conducive for fostering epistemic agency for knowledge building. Implications of these results for research and instructional design of online courses are discussed.     

An interactive peer-assessment criteria development approach to improving students' art design performance using handheld devices

Engaging students in higher order thinking such as evaluation and analysis has been recognized as being an important strategy for helping them develop knowledge and skills, in particular, in creativeness-oriented learning activities such as artwork design. In this paper, an interactive peer-assessment criteria development approach is proposed to help students develop assessment criteria, learn from viewing peers' work, and make reflections in artwork design activities using mobile devices. To evaluate the effectiveness of the proposed approach, an experiment was conducted in an elementary school art course. A total of 103 students participating in the experiment were assigned to an experimental group and a control group. The students in the experimental group learned with the proposed approach, while those in the control group learned with the conventional peer assessment approach. From the experimental results, it was found that the proposed approach significantly improved the students' learning achievement, learning motivation and meta-cognitive awareness, suggesting the effectiveness of engaging students in assessment criteria development in an interactive manner.     

Context‐aware language‐learning application in the green technology building: Which group can benefit the most?

To assess the effects and learner perceptions of context‐aware ubiquitous language learning (CAULL), a green‐building English‐learning application (GBELA) employing sensing technology was created to develop participants' English listening and reading skills using smartphones and QR codes. This study investigated the effects of 40 participants' perceived ease of use, usability, usefulness, learner attitude, satisfaction with the use of GBELA, and self‐efficacy in smartphone and GBELA usage. Quantitative and qualitative data through pretest/post‐test, questionnaires, and semistructured interviews were collected with a focus on green building–based English (GBbE) reading and listening skills. Results proved the effectiveness of the GBELA for both high‐achievement (HA) and low‐achievement (LA) groups. Furthermore, correlations were found between the HA group and ease of use of the GBELA. The correlations among learner perceptions and self‐efficacy showed that a well‐designed context‐aware learning system can help learners enhance self‐efficacy in CAULL mode. Implications for the design of effective context‐ and knowledge‐specific ubiquitous learning systems are provided in the study.     

Exploring the roles of education and Internet search experience in students' Internet-specific epistemic beliefs

The main purpose of this study was to explore the role of education and Internet search experience in students' Internet-specific epistemic beliefs while searching for course-related information on the Internet. The Chinese version of the Internet-Specific Epistemic Questionnaire (C-ISEQ) was utilized to evaluate participants' epistemic beliefs regarding the uncertainty, complicity, and source of Internet-based knowledge as well as the justification of Internet-based knowing. A total of 1070 students with educational levels ranging from junior high school to undergraduate were surveyed. Hierarchical regression analyses were conducted to examine the relationships of education and Internet search experience with students' Internet-specific epistemic beliefs. In addition, the interaction effect between years of education and Internet search experience was recruited in the regression model to explore its correlations with Internet-specific epistemic beliefs. The results showed that years of education were positively correlated to uncertainty and source of Internet-based knowledge as well as justification of Internet-based knowing. Also, Internet search experience had negative relations with uncertainty, complexity and source of Internet-based knowledge; however, it was positively related to justification of Internet-based knowing. In addition, the interaction effect between years of education and Internet search experience was significantly linked to justification of Internet-based knowing. The results of this study highlight the importance of education in students' development of Internet-specific epistemic beliefs. Implications for further research and Internet-based instruction are discussed.     

Analysing computational thinking in collaborative programming: A quantitative ethnography approach

Computational thinking (CT), the ability to devise computational solutions for real‐life problems, has received growing attention from both educators and researchers. To better improve university students' CT competence, collaborative programming is regarded as an effective learning approach. However, how novice programmers develop CT competence through collaborative problem solving remains unclear. This study adopted an innovative approach, quantitative ethnography, to analyze the collaborative programming activities of a high‐performing and a low‐performing team. Both the discourse analysis and epistemic network models revealed that across concepts, practices, and identity, the high‐performing team exhibited CT that was systematic, whereas the CT of the low‐performing team was characterized by tinkering or guess‐and‐check approaches. However, the low‐performing group's CT development trajectory ultimately converged towards the high‐performing group's. This study thus improves understanding of how novices learn CT, and it illustrates a useful method for modeling CT based in authentic problem‐solving contexts.     

Interplay of prior knowledge,self‐regulation and motivation in complex multimedia learning environments

This study examined the direct and indirect effects of medical clerkship students' prior knowledge, self‐regulation and motivation on learning performance in complex multimedia learning environments. The data from 386 medical clerkship students from six medical schools were analysed using structural equation modeling. The structural model revealed that medical students' prior knowledge directly positively affected their learning outcome, self‐efficacy and performance approach goal orientation. The learners' self‐regulation had a significant positive direct effect on learning outcome. The learners' mastery goal orientation directly affected their learning outcome. Interestingly, inconsistent with our hypothesis, the learners' performance approach goal orientation showed a significant negative direct effect on learning outcome, and performance avoidance goal orientation had a significant positive effect on learning outcome. These findings help develop a more comprehensive understanding of the role of individual characteristics on learning performance of complex tasks in multimedia learning environments.     

Learning from instructional animations: How does prior knowledge mediate the effect of visual cues?

The purpose of this study was to investigate the effects of cueing and prior knowledge on learning and mental effort of students studying an animation with narration. This study employed a 2 (no cueing vs. visual cueing) × 2 (low vs. high prior knowledge) between‐subjects factorial design. The results revealed a significant interaction effect between prior knowledge and cueing on learning. Low prior knowledge learners had higher scores after studying an instructional animation with visual cues, compared to those who studied the same instructional animation without visual cues. Conversely, when cues were not provided, high prior knowledge learners outperformed those high prior knowledge learners who studied with the cued version of an instructional animation. These results indicated that the effects of cueing in an instructional animation change depending on the learners' level of prior knowledge. Specifically, low prior knowledge learners benefited more when visual cues were provided, whereas cues did not facilitate learning for high prior knowledge learners.     

Reflective assessment in knowledge building by students with low academic achievement

This study investigated whether and how students with low prior achievement can carry out and benefit from reflective assessment supported by the Knowledge Connections Analyzer (KCA) to collaboratively improve their knowledge-building discourse. Participants were a class of 20 Grade 11 students with low achievement taking visual art from an experienced teacher. We used multiple methods to analyze the students’ online discourse at several levels of granularity. Results indicated that students with low achievement were able to take responsibility for advancing collective knowledge, as they generated theories and questions, built on each others’ ideas, and synthesized and rose above their community’s ideas. Analysis of qualitative data such as the KCA prompt sheets, student interviews and classroom observations indicated that students were capable of carrying out reflective assessment using the KCA in a knowledge building environment, and that the use of reflective assessment may have helped students to focus on goals of knowledge building. Implications for how students with low achievement collaboratively improve their knowledge-building discourse facilitated by reflective assessment are discussed.     

Triple scheme of learning support design for scientific discovery learning based on computer simulation: experimental research

Abstract Learning support studies involving simulation‐based scientific discovery learning have tended to adopt an ad hoc strategies‐oriented approach in which the support strategies are typically pre‐specified according to learners' difficulties in particular activities. This article proposes a more integrated approach, a triple scheme for learning support design on the basis of the systematic analysis of the internal conditions of scientific discovery learning. The triple learning support scheme involves: (a) interpretative support that helps learners with knowledge access and the generation of meaningful and integrative understandings; (b) experimental support that scaffolds learners in systematic and valid experimental activities; and (c) reflective support that increases learners' self‐awareness of the discovery processes and prompts their reflective abstraction and integration. Two experiments were conducted with eighth graders (13‐year‐olds) to examine the effects of these learning supports embedded into a simulation program on floating and sinking. The overall results support the main hypotheses that learning supports in a simulation environment should be directed towards the three perspectives to invite meaningful, systematic, and reflective discovery learning.     

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.     

Evaluation of serious game for changing students' behaviour in bullying situation

The aim of the study was to test the effectiveness of a serious game in improving the helping behaviours of bystanders in bullying situations by using a multimethod approach. Students (N=345, aged 12 to 14) participated in an experimental study with one experimental and two control groups. Before and after playing the game, all students completed an online questionnaire about their knowledge, experiences and behaviours related to bullying, and their behaviours in everyday social situations. For the experimental group, players' reactions during game-play were recorded. Results showed that students' social behaviour displayed before gaming experience determined their playing activities. Besides, most of the students who declared in pre-test that they do not help the victim, although they think they should, chose helping behaviour in all bullying situations in by stander role in the game. Results indicate weak positive effect of the game on students' behavioural choices.     

Designing collaborative knowledge building environments accessible to all learners: Impacts and design challenges

The present study attempted to investigate whether young learners who were new to knowledge building approaches could work towards advancing both individual and collective knowledge, and whether knowledge building could be beneficial to both high-achieving and low-achieving students. Findings reported in this paper are from one and a half-year design research for science learning in one primary school in Singapore. In this study, we closely examined the design and enactment of the Knowledge Building Community model in one class with high-achieving students and two classes with mixed-ability students. The research consists of two phases: Phase I Cultivating a collaborative knowledge building culture and Phase II Progressive Knowledge Building using Knowledge Forum. Data were collected from multiple sources, including knowledge assessment, conceptual understanding tasks, and the content analysis of Knowledge Forum postings. The results in Phase I show that while it is critical for students to monitor and build knowledge for their own understanding, they had difficulties developing such skills. In both phases, we found positive impacts on academic achievements showing improvement of student understanding in the course of reflective thinking and progressive inquiry. Overall, quantitative data suggest that the collaborative knowledge building environment was beneficial for both high-achieving and low-achieving students. We conclude by discussing some of challenges and issues in designing collaborative knowledge building environments for young learners with diverse abilities.     

Mathematics motivation and achievement as predictors of high school students' guessing and help‐seeking with instructional software

The study was conducted to investigate the relation of adolescent students' mathematics motivation and achievement to their appropriate help‐seeking and inappropriate guessing behaviour while using instructional software. High school students (n = 90) completed brief assessments of mathematics motivation and then worked with software for geometry instruction. Students' actions with the software were machine‐classified to identify instances of appropriate help‐seeking and inappropriate guessing. Mathematics teachers provided information about students' achievement (high, average or at risk of failing math class). Results indicated that students with low math self‐concept were most likely to engage in inappropriate guessing behaviour. Students with low math achievement were most likely to engage in appropriate help‐seeking while working with the software.     

Cognitive–metacognitive and content-technical aspects of constructivist Internet-based learning environments: a LISREL analysis

Through a LISREL analysis, this study validated the Constructivist Internet-based Learning Environment Survey (CILES). CILES consisted of six scales, sorted by two aspects. The first aspect, the cognitive–metacognitive aspect, included the scales of student negotiation, inquiry learning, and reflective thinking, whereas the second aspect, the content-technical aspect, involved the scales of Relevance, Ease of Use, and Challenge. A LISREL structural model was also proposed to examine the relationships between students' responses across these two aspects. Survey responses gathered from 483 high school students in Taiwan were the research data for this study. The results from the LISREL confirmatory analysis showed that CILES had highly satisfactory validity and reliability to assess students' preferences for constructivist Internet-based learning environments. Moreover, the structural model indicated that the Internet learning environments that challenged students' existing concepts could facilitate their preferences for student negotiation, inquiry learning and reflective thinking activities. It is proposed that the Internet can have rich connections with numerous resources and a variety of perspectives, thus constructing appropriate learning environments to provide different kinds of challenges for learners.     

F-TCKT：融合遗忘因素的深度时序卷积知识追踪模型

智慧教育中，对学生的知识水平进行追踪是很重要的技术之一。传统的深度知识追踪方法的主要关注点集中在循环神经网络(recurrent neural network, RNN)上，但RNN存在梯度消失或者梯度爆炸的问题，并且很多知识追踪方法没有考虑到学习过程中遗忘行为对结果的影响。针对以上问题，为了准确地预测学生的知识水平，提出了一种融合遗忘因素的深度时序卷积知识追踪模型(temporal convolutional knowledge tracking with forgetting, F-TCKT)。该模型引入了三个影响学生遗忘行为的因素，包括学习相同知识点的时间间隔、学习的时间间隔和同一知识点的学习次数。首先利用全连接网络计算得到表示学生遗忘程度的向量并与学生的答题记录进行拼接，然后使用梯度稳定的时间卷积网络(temporal convolutional network, TCN)和注意力机制预测学生下一次答题正误的概率。经实验验证，与传统方法相比，F-TCKT具有更好的预测性能。     

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.     

Determinants of college students' use of online collaborative help‐seeking tools

Research has noted the effectiveness of online tools (e.g., discussion boards) for supporting help seeking among class members. However, help seeking is not necessarily warranted via online learning tools because some factors (e.g., low Internet self‐efficacy) may influence students' intention to use them. This study aims to identify the determinants of students' use of a web‐based help‐seeking tool called EchoLu. For this purpose, a structural model was developed based on technology acceptance model and tested using a structural equation modelling approach. According to the data analysis results, general Internet self‐efficacy, information‐search self‐efficacy, web‐based learning self‐efficacy, and EchoLu‐specific self‐efficacy play a significant role in students' intentions to use online help‐seeking tools. Contrary to the previous research, no statistically significant relationship was found between general Internet self‐efficacy and EchoLu‐specific self‐efficacy, and between web‐based learning self‐efficacy and perceived usefulness. Implications of the findings for guiding practitioners in supporting effective help‐seeking are presented. Limitations of the study and future research prospects are discussed as well.