Facilitating effective digital game-based learning behaviors and learning performances of students based on a collaborative knowledge construction strategy

Researchers have recognized the potential of educational computer games in improving students’ learning engagement and outcomes; however, facilitating effective learning behaviors during the gaming process remains an important and challenging issue. In this paper, a collaborative knowledge construction strategy was incorporated into an educational computer game to facilitate students’ knowledge sharing and organizing during the game-based learning process. An experiment was conducted to examine the students’ learning behavioral patterns, group efficacy, and problem-solving awareness. The experimental results revealed that the proposed approach improved the students’ learning achievements and awareness of problem-solving. Moreover, from the analysis of the students’ behavior sequences, it was found that, with the collaborative knowledge construction mechanism, the students revealed significantly more aggressive learning behavioral patterns, such as “comparing and observing the learning targets” and “seeking clues and answers” during the gaming process. This implies that integrating the collaborative knowledge construction mechanism into the gaming process has great potential for helping students effectively learn and organize knowledge as well as fostering their awareness of applying the acquired knowledge to dealing with problems.     

Measuring performance in leaning process of digital game-based learning and static E-learning

Educational technology research and development - This study investigated and compared the effectiveness of both digital game-based learning (DGBL) and static e-learning material for Newton’s...     

Impact of digital game-based learning on the social competence and behavior of preschoolers

Education and Information Technologies - Digital gaming has become a regular part of life for today’s pre-schoolers. Hence, there is a need to look at the integration of digital technology...     

Enhancing language learning through creation: the effect of digital storytelling on student learning motivation and performance in a school English course

This study explored how a free-space digital storytelling approach that advocates autonomy and creativity can be implemented in a formal elementary classroom and how it impacts students’ language learning motivation and performances. Participants of the study were 64 sixth grade students in Taiwan. Following an experimental design, the data collected from three data sources, including motivation surveys, achievement test scores, and digital stories, were analyzed and triangulated. Two performance indicators of the digital storytelling, levels of language usage and levels of creativity, were found to have significant but different impacts on language learning. While the students’ language usage performance in digital storytelling was significantly related to their achievement test scores, their creativity performance were significantly related to multiple motivation components, including extrinsic motivation, task value and elaboration. It was also found that the proposed digital storytelling approach had a positive impact on students’ language performance and contributed to an increase to students’ motivation in two dimensions: extrinsic goal orientation and elaboration, rather than intrinsic goal orientation. The results suggest that the positive impact of the proposed storytelling pedagogy resides in allowing students to stretch their creativity while demonstrating their language productivity, with the leverage of a holistic assessment scheme.     

Effects of locus of control on behavioral intention and learning performance of energy knowledge in game-based learning

Game-based learning has been gradually adopted in energy education as an effective learning tool because digital games have the potential to increase energy literacy and encourage behavior change. However, not every learner can benefit from this support. There is a need to examine how human factors affect learners’ reactions to digital games for supporting learning. This study addresses this issue by developing a digital educational game and examining the effects of locus of control on behavioral intention and learning performance of energy knowledge in game-based learning. The results demonstrated that learners with internal locus of control (ILC) outperformed external locus of control (ELC) learners in energy knowledge after interacting with the game. Moreover, the proposed game can reasonably reduce the differences in the behavioral intention of the ILC and ELC learners, indicating that ELC learners significantly improved their behavioral intention after playing the game, especially their external behavioral intention in the aspects of persuasion, legal action, and political action. The findings of this study are discussed to enhance the understanding of locus of control on behavioral intention and energy knowledge in the context of digital games.     

The effects of goal-oriented instructions in digital game-based learning

Few studies have investigated the effects of the instructions provided in educational computer games on cognitive processing and learning outcomes. In our experiment, we sought to compare the effects on learning outcomes of two different types of goal-oriented instructions: mastery-goal instructions, which prompt learners to develop skills or master new knowledge, and performance-goal instructions, which are frequently used in game environments and which encourage individuals to demonstrate their ability to succeed, particularly by surpassing others. Results showed that a mastery-goal instruction elicited deeper learning (as assessed with a transfer task) than a performance-goal instruction. No effect of instruction was observed on either learning (demonstration consultation) times at the start of the game or on training task (solving riddles) performances during it. These results are discussed in terms of learning processes. This study demonstrates that mastery goal-oriented instructions can promote active processing of educational content in a serious game environment.     

Impact of prior knowledge of informational content and organization on learning search principles in a database

This study was designed to investigate the effects of procedural knowledge of table search and declarative knowledge of informational content on search performance. Experimental data from 17 undergraduate students of psychology with no experience of interactive computer systems are presented. Two independent variables were manipulated in a factorial design. One comprised prior training in the use of tabular information presented on paper vs. an irrelevant visual search task. The other involved making inferences from a set of written “facts” about the content in the database vs. an irrelevant choice task. The facts were about the content and abstracted essentials; i.e., macrostructural information in the database. The “facts about content” condition facilitated learning of the search principles. The “prior training with tables presented on paper” condition seemed to increase the frequency of inadequate search schemas, but it may have helped the subjects to construct a mental representation of the database. Subjects given table training but not content learned more quickly than subjects given no prior training. A significant interaction between table search and content training appeared.     

Cultivating critical game makers in digital game-based learning: learning from the arts

Digital games have the potential of being a transformative tool for applying constructionist principles to learning within formal and informal learning settings. Unfortunately, most recent attention has focused on instructionist games. Connected gaming provides a tantalizing alternative approach by calling for the development of games that are both instructive and modifiable by learners. If game design is to be used as a pedagogical tool in this manner, emphasis should be placed on the concurrent development of critical makers. In this paper, we advance the notion of connected gaming through positing a conception of a critical maker. To accomplish this, we look to the arts as a domain where pedagogical approaches are in place from which the game-based learning community can draw insights from, along with an overview of the potential challenges and opportunities that may accompany any attempt to develop critical makers.     

Effects of game-based learning in an OpenSim-supported virtual environment on mathematical performance

This experimental study was intended to examine whether the integration of game characteristics in the OpenSimulator-supported virtual reality (VR) learning environment can improve mathematical achievement for elementary school students. In this pre- and posttest experimental comparison study, data were collected from 132 fourth graders through an achievement test. The same math problem-solving tasks were provided to the experimental and control groups in the VR learning setting. Tasks for the experimental group involved the game characteristics of challenges, a storyline, immediate rewards, and the integration of game-play in the learning content. Analysis of covariance with the achievement test results indicated a significant effect of game-based learning (GBL) in the VR environment, in comparison with non-GBL in the VR environment, in promoting math knowledge test performance.     

Effects of flipped classrooms integrated with MOOCs and game-based learning on the learning motivation and outcomes of students from different backgrounds

ABSTRACT

This study aimed to investigate the effect of flipped classrooms integrated with massive open online courses (MOOCs) and game-based learning on the learning motivation and learning outcomes of students from different backgrounds (in terms of gender, grade, self-confidence indicators in mathematics, and roles played in the game-based learning process). Surveys and a semi-structured open questionnaire were used for data collection, including a basic information questionnaire (to understand the participants’ backgrounds), a questionnaire on learning motivation (the Motivated Strategies for Learning Questionnaire, MSLQ), a test of learning achievements in mathematics, and a semi-structured open-ended questionnaire (to understand the learners’ feelings). Quantitative analysis results showed that flipped classrooms integrated with MOOCs and game-based learning can enhance students’ learning motivation and outcomes. Specifically, compared with students with high self-confidence in learning mathematics, students with low and medium levels of self-confidence showed significantly greater improvement in overall learning motivation. Significantly more enhancements were found for the expectation component of “soldiers” (students with relatively lower learning achievements) than for “generals” (students with higher learning achievements). Furthermore, students in the eighth grade showed significantly greater progress in academic performance than did students in the seventh grade.     

Early prediction of student knowledge in game-based learning with distributed representations of assessment questions

Game-based learning environments hold significant promise for facilitating learning experiences that are both effective and engaging. To support individualised learning and support proactive scaffolding when students are struggling, game-based learning environments should be able to accurately predict student knowledge at early points in students' gameplay. Student knowledge is traditionally assessed prior to and after each student interacts with the learning environment with conventional methods, such as multiple choice content knowledge assessments. While previous student modelling approaches have leveraged machine learning to automatically infer students' knowledge, there is limited work that incorporates the fine-grained content from each question in these types of tests into student models that predict student performance at early junctures in gameplay episodes. This work investigates a predictive student modelling approach that leverages the natural language text of the post-gameplay content knowledge questions and the text of the possible answer choices for early prediction of fine-grained individual student performance in game-based learning environments. With data from a study involving 66 undergraduate students from a large public university interacting with a game-based learning environment for microbiology, Crystal Island , we investigate the accuracy and early prediction capacity of student models that use a combination of gameplay features extracted from student log files as well as distributed representations of post-test content assessment questions. The results demonstrate that by incorporating knowledge about assessment questions, early prediction models are able to outperform competing baselines that only use student game trace data with no question-related information. Furthermore, this approach achieves high generalisation, including predicting the performance of students on unseen questions.

Practitioner notes

What is already known about this topic

• A distinctive characteristic of game-based learning environments is their capacity to enable fine-grained student assessment.
• Adaptive game-based learning environments offer individualisation based on specific student needs and should be able to assess student competencies using early prediction models of those competencies.
• Word embedding approaches from the field of natural language processing show great promise in the ability to encode semantic information that can be leveraged by predictive student models.

What this paper adds

• Investigates word embeddings of assessment question content for reliable early prediction of student performance.
• Demonstrates the efficacy of distributed word embeddings of assessment questions when used by early prediction models compared to models that use either no assessment information or discrete representations of the questions.
• Demonstrates the efficacy and generalisability of word embeddings of assessment questions for predicting the performance of both new students on existing questions and existing students on new questions.

Implications for practice and/or policy

• Word embeddings of assessment questions can enhance early prediction models of student knowledge, which can drive adaptive feedback to students who interact with game-based learning environments.
• Practitioners should determine if new assessment questions will be developed for their game-based learning environment, and if so, consider using our student modelling framework that incorporates early prediction models pretrained with existing student responses to previous assessment questions and is generalisable to the new assessment questions by leveraging distributed word embedding techniques.
• Researchers should consider the most appropriate way to encode the assessment questions in ways that early prediction models are able to infer relationships between the questions and gameplay behaviour to make accurate predictions of student competencies.

     

Impact of AR-based collaborative learning approach on knowledge gain of engineering students in embedded system course

Education and Information Technologies - Collaborative learning is the favored approach educators use to inculcate social skills and promote peer interactions in students. Embedded Systems is a...     

The relationship among prior knowledge,accessing learning supports,learning outcomes,and game performance in educational games

Educational technology research and development - In-game learning supports aim to help students solve game levels (i.e., game-related supports), and connect to underlying content (i.e.,...     

Active teaching to manage course difficulty and learning motivation

Given the recent reported common occurrence of mediocre or substandard academic performance by students in colleges and universities, it has become essential to identify pedagogical factors that might lessen or reverse this trend. Kolb’s experiential learning, Pintrich’s student learning motivation, and cognitive load theories were used as a framework to assess active teaching moderation of the effects of course difficulty on course performance and learning motivation. Hierarchical ordinary least squares (OLS) regression was used to analyse the data. Research subjects were recruited from a medium-sized historically Black college and university (HBCU) students enrolled in STEM (science, technology, engineering, and mathematics) and Business (i.e. management, economics, or accounting) classes. Active teaching was a positive predictor of course grade and learning motivation. Course difficulty was a negative predictor of course grade. Interaction analysis revealed that increases in active teaching reduced (i.e. moderated) the negative relationship between course difficulty on both course grade and learning motivation. Overall, the findings suggest that student learning outcomes are certainly a function of pedagogy (e.g. active teaching), psychological/affective (e.g. learning motivation), and learning content complexity. Active teaching environments should (1) address both cognitive load and emotional responses attributed to difficult coursework, and (2) provide efficacy building opportunities during instructional delivery.     

Content and timing of feedback in a web-based learning environment: effects on learning as a function of prior knowledge

This study investigated the effectiveness of different types of feedback content (elaborate versus global) and feedback timing (immediate versus delayed) for learning genetics in a web-based learning environment as a function of learners' prior knowledge. It was hypothesized that learning outcomes of students with low prior knowledge would be fostered by immediate elaborate feedback, whereas those of students with more prior knowledge would be enhanced by delayed global feedback. Students' perceptions of the feedback they received were explored. Results showed a significant positive effect of global feedback on learning outcomes for higher prior knowledge learners, although those who received elaborate feedback gave a higher appreciation rating. The findings are discussed in terms of implications for the design and delivery of feedback in web-based learning environments.     

Visualizing knowledge in new educational environments: a course on learning objects

This article describes the learning objectives, the course activities, experiences and outcomes of a graduate level course on learning object design. The course was developed and taught at The Ohio State University by the author during the Spring Quarter of 2003. Students from the visual design and education disciplines partnered to work on a client‐initiated, authentic, grant‐funded project. The students, working in teams and serving as expert consultants to each other, were tasked with designing prototypes for learning objects to be used by freshman high school students, particularly those with disabilities. The course provided an opportunity to observe how developers actually built learning objects and to apply that knowledge to better understanding the issues facing faculty when challenged with the same tasks.