The impact of intrinsic motivation on e-learning in authentic computer tasks

Abstract Students with high intrinsic motivation often outperform students with low intrinsic motivation. However, little is known about the processes that lead to these differences. In education based on simulations or authentic electronic learning environments, this lack of insight is even more clear. The present study investigated what students actually did in an electronic learning environment that was designed as a game‐like realistic simulation in which students had to play the role of a junior consultant. The results show that students with high intrinsic motivation did not do more, rather they tended to do different things. Analysis of log files showed that the increased curiosity that students with high intrinsic motivation have, resulted in proportionally more explorative study behaviour. However, the learning outcomes of students with high intrinsic motivation were not better.     

Face-to-face,blended, flipped,or online learning environment? Impact on learning performance and student cognitions

This study compares four learning environments: face-to-face learning (F2F), fully e-learning (EL), blended learning (BL), and flipped classroom (FC) with respect to students' learning performance. Moreover, this present research studies changes in perceived flexibility, intrinsic motivation, self-efficacy beliefs of students, and the interaction effects in these student variables on learning performance. Two learning environment design elements: (1) lectures (2) group discussions building on guiding questions, were manipulated to create the four learning environments. Third-year undergraduate students (n = 106), enrolled in the “Animal and Human Physiology” course at CanTho University (Vietnam), were randomly assigned to one of the four learning environments. The results suggest a significant positive differential effect on learning performance when studying in a FC and BL setting. No significant interaction effects could be observed regarding changes in perceived flexibility, intrinsic motivation and self-efficacy. However, significant differences between learning conditions were observed in perceived flexibility. Analysis of focus group data corroborate the finding that students experience more flexibility in time and place when studying in FC, BL and EL environments. In addition, students in a FC environment reflect significantly larger positive changes in their self-efficacy. But, the qualitative data show how positive perceptions about flexibility, motivation and self-efficacy are often cancelled out by negative perceptions.     

Increasing Participation in Distance Learning Courses

Web-based discussion forums are key tools in online education environments. Extant studies have shown that active participation helps drive the success of these forums. The integrated participation evaluation tool (iPET) is a Web-based application combining social network analysis and visualization to enable distance learning instructors and students to improve their participation in online discourse and so improve their overall learning experience. An analysis of the results obtained in a study using iPET in a distance learning context shows that iPET increases participation and motivation in distance learning courses without increasing facilitator workload     

The surplus value of an authentic learning environment

This article presents a study that provides insight in the effects of an authentic electronic learning environment on student performance and experiences. It is expected that learning in an authentic learning environment results in higher performance and improves intrinsic motivation of students. The results of this study showed, contrary to what was expected, that student who worked in an authentic environment did not perform better than students who worked in a less authentic environment. Moreover, the reported experiences with the learning environments did not differ between both groups.     

The effects of computer games on primary school students’ achievement and motivation in geography learning

The implementation of a computer game for learning about geography by primary school students is the focus of this article. Researchers designed and developed a three-dimensional educational computer game. Twenty four students in fourth and fifth grades in a private school in Ankara, Turkey learnt about world continents and countries through this game for three weeks. The effects of the game environment on students’ achievement and motivation and related implementation issues were examined through both quantitative and qualitative methods. An analysis of pre and post achievement tests showed that students made significant learning gains by participating in the game-based learning environment. When comparing their motivations while learning in the game-based learning environment and in their traditional school environment, it was found that students demonstrated statistically significant higher intrinsic motivations and statistically significant lower extrinsic motivations learning in the game-based environment. In addition, they had decreased focus on getting grades and they were more independent while participating in the game-based activities. These positive effects on learning and motivation, and the positive attitudes of students and teachers suggest that computer games can be used as an ICT tool in formal learning environments to support students in effective geography learning.     

A NEW E‐LEARNING ACHIEVEMENT EVALUATION MODEL BASED ON ROUGH SET AND SIMILARITY FILTER

The trend of utilizing information and Internet technologies as teaching and learning tools is rapidly expanding into education. E‐learning is one of the most popular learning environments in the information era. The Internet enables students to learn without limitations of space and time. Furthermore, the learners can repeatedly review the context of a course without the barrier of distance. Recently, student‐centered instruction has become the primary trend in education, and the e‐learning system, which is considered with regard to of personalization and adaptability, is more and more popular. By means of e‐learning systems, teachers can adjust the learning schedule instantly for each learner according to a student's achievements and build more adaptive learning environments. Sometimes, teachers give biased assessments of students’ achievements under uncontrollable conditions (i.e., tiredness, preference) and are in dire need of overcoming this predicament. To solve the drawback mentioned, a new model to evaluate learning achievements based on rough set and similarity filter is proposed. The proposed model includes four facets: (1) select important features (attributes) to enhance classification performance by feature selection methods; (2) utilize minimal entropy principle approach (MEPA) to fuzzify the quantitative data; (3) select linguistic values for each feature and delete inconsistent data using the similarity threshold (similarity filter); and (4) generate rules based on rough set theory (RST). The practical e‐learning achievement data sets are collected by an e‐learning online examination system from a university in Taiwan. To verify our model, the performances of the proposed model are compared with the listing models. Results of this study demonstrate that the proposed model outperforms the listing models.     

Five facets of social presence in online distance education

Social presence in online learning environments refers to the degree to which a learner feels personally connected with other students and the instructor in an online learning community. Based on a 19 item Online Social Presence Questionnaire (OSPQ) given to college students in two different online learning courses, a series of exploratory and confirmatory factor analyses consistently revealed five factors representing facets of social presence in online learning environments: social respect (e.g. receiving timely responses), social sharing (e.g., sharing information or expressing beliefs), open mind (e.g., expressing agreement or receiving positive feedback), social identity (e.g., being called by name), and intimacy (e.g., sharing personal experiences). Together, the five factors accounted for 58% of the variance and were based on 19 items. Although much previous research focuses on cognitive aspects of learning in online environments, understanding the role of the learner’s sense of presence may be particularly important in distance learning situations in which students and the instructor are physically separated.     

Motivational and cognitive benefits of training in immersive virtual reality based on multiple assessments

The main objective of this study was to examine the effectiveness of immersive virtual reality (VR) as a medium for delivering laboratory safety training. We specifically compare an immersive VR simulation, a desktop VR simulation, and a conventional safety manual. The sample included 105 first year undergraduate engineering students (56 females).  We include five types of learning outcomes including post‐test enjoyment ratings; pre‐ to post‐test changes in intrinsic motivation and self‐efficacy; a post‐test multiple choice retention test; and two behavioral transfer tests. Results indicated that the groups did not differ on the immediate retention test, suggesting that all three media were equivalent in conveying the basic knowledge. However, significant differences were observed favoring the immersive VR group compared to the text group on the two transfer tests involving the solving problems in a physical lab setting (d = 0.54, d = 0.57), as well as enjoyment (d = 1.44) and increases in intrinsic motivation (d = 0.69) and self‐efficacy (d = 0.60). The desktop VR group scored significantly higher than the text group on one transfer test (d = 0.63) but not the other (d= 0.11), as well as enjoyment (d =1.11) and intrinsic motivation (d =0.83).     

When educational agents meet surrogate competition: Impacts of competitive educational agents on students' motivation and performance

The design of educational agents increasingly attracts researchers' attention recently. One of major reasons is that educational agents could enhance student learning in various aspects. Although research in this area has mushroomed, such research mainly emphasizes on students in higher education. It is still unclear how educational agents influence young student learning. In addition, competition is a significant element, but fewer studies take competition into account while designing educational agents. Although some studies have indicated that educational agents in competitive environments has positive effects on students' perception and attribution, its impacts on students' motivation and performance are unclear. Thus, the study develops an integrative agent that combines educational and competitive elements for young students, and further examines its influences, in terms of motivation and learning performance. The results revealed that such competitive educational agents could enhance students' motivation and learning performance.     

Attitudes affecting college students' preferences for distance learning

Abstract Empirical studies that have examined psychological aspects of the use of Information and Communication Technology (ICT) have indicated that certain psychological attitudes of students towards the use of ICT are of paramount importance when evaluating the effective use of distance learning approaches to instruction and learning. Distance learning at the tertiary level, through the medium of ICT, is seemingly affected by the same psychological attitudes that are known to be related to other successful ICT applications to learning and instruction. In the present study the relationship between two distance learning ICT-based configurations were examined. The results indicate that psychological attitudes held by students differentially facilitate efficient use of distance learning approaches. Satisfaction with learning, level of control of the learning process, and study motivation for distance learning are all positively related to the students' preferences for structured distance learning, whereas independence in learning is positively connected to students' preferences for the more open Internet functionality.     

Supervised machine learning in multimodal learning analytics for estimating success in project‐based learning

Multimodal learning analytics provides researchers new tools and techniques to capture different types of data from complex learning activities in dynamic learning environments. This paper investigates the use of diverse sensors, including computer vision, user‐generated content, and data from the learning objects (physical computing components), to record high‐fidelity synchronised multimodal recordings of small groups of learners interacting. We processed and extracted different aspects of the students' interactions to answer the following question: Which features of student group work are good predictors of team success in open‐ended tasks with physical computing? To answer this question, we have explored different supervised machine learning approaches (traditional and deep learning techniques) to analyse the data coming from multiple sources. The results illustrate that state‐of‐the‐art computational techniques can be used to generate insights into the "black box" of learning in students' project‐based activities. The features identified from the analysis show that distance between learners' hands and faces is a strong predictor of students' artefact quality, which can indicate the value of student collaboration. Our research shows that new and promising approaches such as neural networks, and more traditional regression approaches can both be used to classify multimodal learning analytics data, and both have advantages and disadvantages depending on the research questions and contexts being investigated. The work presented here is a significant contribution towards developing techniques to automatically identify the key aspects of students success in project‐based learning environments, and to ultimately help teachers provide appropriate and timely support to students in these fundamental aspects.     

The effectiveness of a math game: The impact of integrating conceptual clarification as support

This study investigates the impact of integrating conceptual clarifications as support in an educational math game, and explores the impact of adding this (internal vs. external) support on students’ game and mathematical performance, intrinsic motivation, and game perception. Three conditions are established: a condition in which internal support is offered, a condition in which (identical) external support is offered, and a control condition in which no support is added to the game. One hundred twenty-two vocational secondary education students participated in this study. The results of this study indicate that students benefit from playing with an educational game in order to enhance their proportional reasoning skills. Adding conceptual clarifications as instructional support in an intrinsically integrated game is not recommended. If the support is given to the students anyhow, it is advised to offer it externally because internally integrating this support leads to a decrease in performance and motivation. Hence, not only support as such, but also the way it is integrated in the game-based learning process, might be decisive for its effectivity. Obviously, further research is warranted in order to replicate these findings also for other types of support, other game-based learning environments and other target groups.     

Distance learning immersive environments: Sense of presence exploration

Distance learning technologies are becoming more important for the delivery of content as distance education seems rapidly growing adoption worldwide. These technologies allow collaboration between students and teachers in globally disparate environments. Immersive environments are one recent innovation with significant promise, offering a sense of presence—the sense of “being there”—which can strengthen and reinforce distance learning. The primary purpose of this study is to research the sense of presence using an immersive environment. While this is a work-in-progress, the authors provide preliminary results and conclusions.     

The reality of virtual schools: A review of the literature

Virtual schooling was first employed in the mid-1990s and has become a common method of distance education used in K-12 jurisdictions. The most accepted definition of a virtual school is an entity approved by a state or governing body that offers courses through distance delivery – most commonly using the Internet. While virtual schools can be classified in different ways, the three common methods of delivery are by independent, asynchronous or synchronous means. Presently, the vast majority of virtual school students tended to be a select group of academically capable, motivated, independent learners. The benefits associated with virtual schooling are expanding educational access, providing high-quality learning opportunities, improving student outcomes and skills, allowing for educational choice, and achieving administrative efficiency. However, the research to support these conjectures is limited at best. The challenges associated with virtual schooling include the conclusion that the only students typically successful in online learning environments are those who have independent orientations towards learning, highly motivated by intrinsic sources, and have strong time management, literacy, and technology skills. These characteristics are typically associated with adult learners. This stems from the fact that research into and practice of distance education has typically been targeted to adult learners. The problem with this focus is that adults learn differently than younger learners. Researchers are calling for more research into the factors that account for K-12 student success in distance education and virtual school environments and more design research approaches than traditional comparisons of student achievement in traditional and virtual schools.     

Exploring collaborative learning effect in blended learning environments

The use of new technology encouraged exploration of the effectiveness and difference of collaborative learning in blended learning environments. This study investigated the social interactive network of students, level of knowledge building and perception level on usefulness in online and mobile collaborative learning environments in higher education. WeChat, which is a mobile synchronous communication tool, and modular object‐oriented dynamic learning environment (Moodle) were used as mobile and online collaborative learning settings. Seventy‐eight college students majoring in information engineering participated in the experiment. The following findings were revealed by combining methods of social network analysis, content analysis and questionnaire survey: (1) the collaborative social networks generated in this study showed that students had tighter interaction relationships in Moodle than in WeChat; (2) deeper level of knowledge building in collaboration and interaction through Moodle than WeChat was observed; and (3) Moodle got higher perception level than WeChat because of its usefulness for collaboration.     

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.     

Supporting conceptual understanding of the associative and distributive properties through digital gameplay

There has been a steady rise in the support for games as learning environments. This support is largely based on the strong levels of engagement and motivation observed during gameplay. What has proven difficult is the ability to consistently design and develop learning games that are both engaging and educationally viable. Those in the game‐based learning community contend the solution is to tightly integrate instructional objective(s) within the game's mechanics. In order to investigate whether or not intrinsic integration would aid in game design, an experimental study was conducted with 111 fourth and fifth graders in which three versions of a game were designed in order to determine which approach would have a more significant impact on conceptual understanding of the associative and distributive properties. It was found that those who played the intrinsic version of the game (properties mapped to game mechanics) had significant learning gains compared with those who played the extrinsic version. Perceptions of the game are also discussed, along with future directions.     

Investigating the mediating role of online learning motivation in the COVID-19 pandemic situation in Bangladesh

The purpose of this paper is to investigate the mediating role of online learning motivation (OLM) in the COVID-19 pandemic situation in Bangladesh by observing and comparing direct lectures (DL), instructor–learner interaction (ILI), learner–learner interaction (LLI), and internet self-efficacy (ISE) as predictors of OLM and online learning satisfaction (OLS). Data were collected from 442 undergraduate and graduate students from more than 35 universities in Bangladesh. To test the hypotheses, the PLS-SEM approach was applied using SmartPLS 3.0. The study shows a significant mediating role of OLM between the independent variables and learning satisfaction. In addition, DL, ILI, and ISE are shown to be significant predictors of student satisfaction. The findings have a number of valuable implications for education policy makers, universities, instructors, and students. Moreover, the study suggests some new research perspectives to overcome the limitations of this research and to gain precise knowledge on students' learning motivation and satisfaction regarding other online classes for different categories of students (e.g., high school and college, professional, and PhD).     

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.