Promoting self-regulated learning in web-based learning environments

Self-regulated learning with the Internet or hypermedia requires not only cognitive learning strategies, but also specific and general meta-cognitive strategies. The purposes of the Study2000 project, carried out at the TU Dresden, were to develop and evaluate authoring tools that support teachers and students in web-based learning and instruction. This paper presents how the authoring tools of the Study2000 project can implement psychologically sound measures to promote (a) active and elaborated learning activities and (b) meta-cognitive activities in a web-based learning environment. Furthermore, it describes a study involving 72 university students in the use of such a web-based learning environment in a self-regulated learning setting at the university level. Results show that students spent almost 70% of their study time with texts, 11% with learning tasks and 12% with the active and elaborated learning tools, whereas meta-cognitive aids where hardly used (<1%).     

Tracing elementary school students’ study tactic use in gStudy by examining a strategic and self-regulated learning

This study investigated, with the help of log file traces (f = 172), how 20 elementary school students used study tactics when studying science within the gStudy learning environment and examined how tactic use contributed to the students’ achievement. The analysis of this study is divided into two parts. First, at the situational level, the focus is on capturing the tactics that were used in different gStudy sessions, classifying the gStudy sessions based on the tactic use, and illustrating the patterned use of tactics during these sessions. Second, at the individual level, the focus is on examining individual students’ typical methods of using tactics, which helps to illustrate how tactic use contributes to the students’ achievement. The gStudy sessions were classified into three categories on the basis of tactic use: rare, moderate, and frequent. Findings indicate that frequent tactic use did not contribute to deep learning. Moderate tactic use was fairly effective for learning, but rare tactic use contributed to deep learning. The results did not show that the use of many study tactics improves learning; rather, they suggest that the distinguishing feature in strategic learning is not the tactic use itself but the way the tactic is performed.     

The effects of feedback protocol on self-regulated learning in a web-based worked example learning environment

The current research investigated the effects of differing feedback protocols in a Web-based worked example learning environment to determine if changes would occur over time in goal orientation, self-regulation, self-efficacy or achievement. Participants from an undergraduate chemistry course were assigned to either a norm-referenced or self-referenced feedback group to receive feedback in relation to their performance on a weekly quiz administered via the Web. Results revealed that participants did not significantly change their goal orientation type or magnitude as a result of the differing feedback protocols, even with the addition of learning environment perception as a potential mediating variable. However, participants made significant decreases along the mastery approach and performance approach goal orientation sub-scales, regardless of the type of feedback received. While this was not anticipated, the results are consistent with other recent research within this context. An unanticipated trend also emerged, as those from the norm-referenced feedback group with a class-task perception of the learning environment were less likely to use worked examples but also demonstrated the greatest gains in self-efficacy. These were unanticipated outcomes and contrary to prior research. Recommendations for future research within this context such as authenticating participants’ perceptions of their assigned treatment condition, introducing additional feedback protocols such as a combined, choice, or control condition and building in a better gauge to track the time and context of changes within the constructs of interest are also discussed.     

A cellular learning automata-based deployment strategy for mobile wireless sensor networks

One important problem which may arise in designing a deployment strategy for a wireless sensor network is how to deploy a specific number of sensor nodes throughout an unknown network area so that the covered section of the area is maximized. In a mobile sensor network, this problem can be addressed by first deploying sensor nodes randomly in some initial positions within the area of the network, and then letting sensor nodes to move around and find their best positions according to the positions of their neighboring nodes. The problem becomes more complicated if sensor nodes have no information about their positions or even their relative distances to each other. In this paper, we propose a cellular learning automata-based deployment strategy which guides the movements of sensor nodes within the area of the network without any sensor to know its position or its relative distance to other sensors. In the proposed algorithm, the learning automaton in each node in cooperation with the learning automata in the neighboring nodes controls the movements of the node in order to attain high coverage. Experimental results have shown that in noise-free environments, the proposed algorithm can compete with the existing algorithms such as PF, DSSA, IDCA, and VEC in terms of network coverage. It has also been shown that in noisy environments, where utilized location estimation techniques such as GPS-based devices and localization algorithms experience inaccuracies in their measurements, or the movements of sensor nodes are not perfect and follow a probabilistic motion model, the proposed algorithm outperforms the existing algorithms in terms of network coverage.     

Students’ perceptions of collaboration, self-regulated learning, and information seeking in the context of Internet-based learning and traditional learning

This study aims to investigate students’ perceptions of three aspects of learning - collaboration, self-regulated learning (SRL), and information seeking (IS) in both Internet-based and traditional face-to-face learning contexts. A multi-dimensional questionnaire was designed to evaluate each aspect in terms of perceived capability, experience, and interest. The analyses explore (1) potential differences of students’ perceptions between Internet-based and face-to-face learning environments and (2) potential differences in the three aspects in relation to learners’ attributes and the use of the Internet and enrollment in online courses. This study surveyed students in a higher education institute who had had experiences with Internet-based and face-to-face learning. The results showed that students perceived higher levels of collaboration (capability only), SRL (capability and experience) and IS (capability, interest, and experience) in Internet-based learning than in traditional learning environments. In terms of students’ education level, graduate students perceived higher levels of capabilities and interests in some of the aspects, than undergraduate students. In addition, for Internet-based learning, significant differences in collaboration and SRL were found derived from time spent on the Internet related to learning; and students’ perceptions of collaboration, SRL, and IS were all positively correlated to students’ online course-taking experience. Implications for online learning practices and instructor’s facilitation are discussed.     

Developing Web-based assessment strategies for facilitating junior high school students to perform self-regulated learning in an e-Learning environment

This research refers to the self-regulated learning strategies proposed by Pintrich (1999) in developing a multiple-choice Web-based assessment system, the Peer-Driven Assessment Module of the Web-based Assessment and Test Analysis system (PDA-WATA). The major purpose of PDA-WATA is to facilitate learner use of self-regulatory learning behaviors to perform self-regulated learning and in turn improve e-Learning effectiveness. PDA-WATA includes five main strategies: ‘Adding Answer Notes,’ ‘Stating Confidence,’ ‘Reading Peer Answer Notes,’ ‘Recommending Peer Answer Notes’ and ‘Querying Peers’ Recommendation on Personal Answer Notes’. Using these strategies, examinees are allowed to add answer notes to explain why they chose a certain option as the correct answer and state their confidence in their own answer and answer notes, for peers’ reference. In addition to reading peer answer notes, examinees can also recommend peer answer notes as valuable references. The recommendation information can also be queried by all examinees. Quasi-experimental design was adopted to understand the effectiveness of PDA-WATA in facilitating learner use of self-regulatory learning behaviors to perform self-regulated learning and in improving learner e-Learning effectiveness. Participants were 123 seventh-grade junior high school students from four classes. These four classes were randomly divided into the PDA-WATA group (n = 63) and the N-WBT group (n = 60). Before e-Learning instruction, all students took the pre-test of the Learning Process Inventory (LPI), used to understand how often learners use self-regulatory learning behaviors in the learning process, and the pre-test of the summative assessment. After a two-week e-Learning instruction, the students all took the post-test of the LPI and the summative assessment. Results indicate that students in the PDA-WATA group appear to be more willing to take the Web-based formative assessment than students in the N-WBT group. In addition, PDA-WATA appears to be significantly more effective than N-WBT in facilitating learner use of self-regulatory learning behaviors to perform self-regulated learning and in improving their e-Learning effectiveness. Moreover, this research also finds that in the PDA-WATA group, there is no significant difference between the learning effectiveness of students with a low level of self-regulated learning and students with a high level of self-regulated learning, but similar result cannot be found in the N-WBT group.     

Note-taking while learning hypermedia: Cognitive and motivational considerations

The non-linear format of hypermedia requires the use of self-regulated learning (SRL) processes, including making decisions about which representation to access. The design of hypermedia environments can make these decisions difficult, and may result in extraneous cognitive load. Note-taking, a SRL strategy may offload extraneous cognitive load while learning with hypermedia. This study examined factors related to undergraduate students’ note-taking while learning with hypermedia. Think-aloud, self-report, pretest, and posttest data were collected from 53 undergraduates while they learned about a challenging science topic for 30 min with hypermedia. Results indicated that participants’ prior domain knowledge, as measured by the pretest, did not significantly predict the content of their notes. However, motivation, as measured by a self-report questionnaire, had a significant relationship with the content of the participants’ notes. Specifically, intrinsic motivation had a significant negative relationship while extrinsic motivation had a significant positive relationship with the content of notes. Additionally, there was a significant interaction between the content of the participants’ notes and their use of self-regulatory processes while learning with hypermedia.     

Using computer supported collaborative learning strategies for helping students acquire self-regulated problem-solving skills in mathematics

The main objective of this paper is to investigate the effectiveness of a proposed computer-based instructional method in Primary Education for self-regulated problem solving. The proposed instructional method is based on Sternberg’s model of problem solving within an authentic context. It consists of three main phases: observation, collaboration and semi-structured guidance. The ultimate learning objective is to augment the autonomous problem-solving skills of primary school children. In our study the Synergo tool was used, which is a synchronous computer supported collaborative learning tool, as well as the Moodle learning management system. The context which frames the method is authentic, very close to a students’ realistic learning situation. The findings of this study advocate that students can increase their problem-solving skills in a relatively short period of time. At the same time, they can improve their approach to the solution of a given mathematical problem, performing significant signs of autonomy.     

Investigating teachers' adoption of signature mobile pedagogies

This study investigated how teachers are using distinctive pedagogical features of mobile learning: collaboration, personalisation and authenticity. The researchers developed and validated a survey instrument based on these three established constructs (Kearney, Schuck, Burden, & Aubusson, 2012) and used it to interrogate current mobile learning practices in school and university education. This paper focuses on data from school teachers (n = 107). Findings indicated that teachers' perceptions of authenticity were high but aspects of online collaboration, networking and student agency were rated surprisingly lower than expected, given the rhetoric about enhanced connection and flexible learning opportunities afforded by mobile technologies. Device ownership was identified as one factor influencing adoption of these mobile pedagogies. Implications for effective use of handheld devices in teaching are addressed.     

Innovative ways for using gStudy to orchestrate and research social aspects of self-regulated learning

This paper explores the ways three different theoretical perspectives of the social aspects of self-regulated learning [Hadwin, A. F. (2000). Building a case for self-regulating as a socially constructed phenomenon. Unpublished doctoral dissertation, Simon Fraser University, Burnaby, BC, Canada; Hadwin, A. F., & Oshige, M. (2006). Self-regulation, co-regulation, and socially-shared regulation: Examining many faces of social in models of SRL. In A. F. Hadwin, & S. Jarvela (Chairs), Socially constructed self-regulated learning: Where social and self meet in strategic regulation of learning. Symposium conducted at the Annual Meeting of the American Educational Research Association, San Francisco, CA] have been operationalized in a computer supported learning environment called gStudy. In addition to contrasting social aspects of SRL and drawing connections with specific collaborative tools and structures, this paper explores the potential of gStudy to advance theory, research, and practice. Specifically it discusses how the utilization of differing collaborative models provides new avenues for systematically researching social aspects of SRL and their roles in collaboration.     

State of the art of frameworks and middleware for facilitating mobile and ubiquitous learning development

The emergence of mobile and ubiquitous technologies as important tools to complement formal learning has been accompanied by a growing interest in their educational benefits and applications. Mobile devices can be used to promote learning anywhere and anytime, to foster social learning and knowledge sharing, or to visualize augmented reality applications for learning purposes. However, the development of these applications is difficult for many researchers because it requires understanding many different protocols; dealing with distributed schemas, processes, platforms, and services; learning new programming languages; and interacting with different hardware sensors and drivers. For that reason, the use of frameworks and middleware that encapsulate part of this complexity appears to be fundamental to the further development of mobile learning projects. This study analyzes the state of the art of frameworks and middleware devoted to simplifying the development of mobile and ubiquitous learning applications. The results can be useful to many researchers involved in the development of projects using these technologies by providing an overview of the features implemented in each of these frameworks.     

移动学习在税务干部培训中的应用研究

移动学习作为网络培训的有效补充,在税务干部培训中起着重要的作用,．本文从其必要性、可行性入手,进行分析,着重介绍系统功能及其技术实现。     

A knowledge acquisition approach to developing Mindtools for organizing and sharing differentiating knowledge in a ubiquitous learning environment

Previous studies have reported the importance and benefits of situating students in a real-world learning environment with access to digital-world resources. At the same time, researchers have indicated the need to develop learning guidance mechanisms or tools for assisting students to learn in such a complex learning scenario. In this study, a grid-based knowledge acquisition approach is proposed and a Mindtool is developed to help students organize and share knowledge for differentiating a set of learning targets based on what they have observed in the field. An experiment has been conducted in an elementary school Natural Science course for differentiating different species of butterflies. Forty-one fifth-grade students have been assigned to a control group and an experimental group to compare the effect of the conventional approach and that of the proposed approach. The experimental results show that the proposed approach not only improves students’ learning achievements, but also significantly enhances their ability of identifying species in the field.     

Path planning of a mobile robot by optimization and reinforcement learning

At AROB5, we proposed a solution to the path planning of a mobile robot. In our approach, we formulated the problem as a discrete optimization problem at each time step. To solve the optimization problem, we used an objective function consisting of a goal term, a smoothness term, and a collision term. While the results of our simulation showed the effectiveness of our approach, the values of the weights in the objective function were not given by any theoretical method. This article presents a theoretical method using reinforcement learning for adjusting the weight parameters. We applied Williams' learning algorithm, episodic REINFORCE, to derive a learning rule for the weight parameters. We verified the learning rule by some experiments. This work was presented, in part, at the Sixth International Symposium on Artificial Life and Robotics, Tokyo, Japan, January 15–17, 2001     

A formative assessment-based mobile learning approach to improving the learning attitudes and achievements of students

The advancement of mobile and wireless communication technologies has encouraged an increasing number of studies concerning mobile learning, in which students are able to learn via mobile devices without being limited by space and time; in particular, the students can be situated in a real-world scenario associated with the learning content. Although such an approach seems interesting to the students, researchers have emphasized the need for well-designed learning support in order to improve the students’ learning achievements. Therefore, it has become an important issue to develop methodologies or tools to assist the students to learn in a mobile learning environment. Based on this perspective, this study proposes a formative assessment-based approach for improving the learning achievements of students in a mobile learning environment. A mobile learning environment has been developed based on this approach, and an experiment on a local culture course has been conducted in southern Taiwan to evaluate its effectiveness. The experimental results show that the proposed approach not only promotes the students’ learning interest and attitude, but also improves their learning achievement.     

The influence of the level of free-choice learning activities on the use of an educational computer game

Employing a mixed-method explorative approach, this study examined the in situ use of and opinions about an educational computer game for learning English introduced in three schools offering different levels of freedom to choose school activities. The results indicated that the general behaviour of the children with the game was very different for each of the schools while there were no significant differences in subjective opinions or previous computer game experience as measured with a questionnaire. The gaming records and interviews informed that children do enjoy playing the game in comparison with other formal learning activities, but appreciate it less as a leisure-time activity. Furthermore it appears that children used to teacher-initiated activities tend to depend on their teacher’s directions for how and when to play. The study highlights the level of choice as one of the important aspects to consider when introducing a game in the classroom. The study also points out some suggestions for the design of educational games, such as providing communication possibilities between players and integrating fast-paced motor-skill based games with learning content in a meaningful way.     

Investigating attitudes towards the use of mobile learning in higher education

Mobile learning (M-learning) has become an important educational technology component in higher education. M-learning makes it possible for students to learn, collaborate, and share ideas among each other with the aid of internet and technology development. However, M-learning acceptance by learners and educators is critical to the employments of M-learning systems. Attitudes towards M-learning technology is an important factor that helps in determining whether or not learners and educators are ready to use M-learning. Such attitudes will serve to identify strengths and weaknesses and facilitate the development of the technology infrastructure. This paper aims at exploring students and educators' attitudes towards the use of M-learning in higher educational universities within Oman and UAE; two neighboring countries in the Arab Gulf region. To serve this purpose, two survey questionnaires were conducted: one for students and another for educators. The participants of this study are 383 students and 54 instructors from five universities. Different factors have been examined to test where there is a significant difference among students and educators' attitudes towards the use of M-learning, such as gender, age, country, level of study, smartphone ownership, major in terms of students and age, country, academic rank, academic experience and smartphone ownership in terms of educators. Findings revealed significant differences among the students’ attitudes towards M-learning with regard to their smartphone ownership, country and age. Furthermore, results indicated that M-learning can be one of the promising pedagogical technologies to be employed in the higher educational environments within the Arab Gulf countries.     

Deconstructing and reconstructing: Transforming primary science learning via a mobilized curriculum

The history of science education reform has been fundamentally centered around science curriculum development and implementation. The advent of mobile technologies has necessitated a re-examination of how students could better learn science through these 21st century tools. Conventional teaching materials may not prepare students to learn the inquiry way and to become self-directed and social learners who could learn “everywhere and all the time (seamlessly)” using mobile technologies. This paper is based on our first year of work in our mobile learning research project in transforming primary three science lessons into a “mobilized” curriculum for a classroom context in which students routinely use mobile technologies. Using an exemplar fungi topic, we discuss our approach as well as experiences in deconstructing and reconstructing an existing curriculum through a co-design approach with teachers in a Singapore local school. In doing so, we make a contribution to the methodology for developing mobilized science curricula for in-class learning that also extends to out-of-class learning.     

An approach to learning mobile robot navigation

This paper describes an approach to learning an indoor robot navigation task through trial-and-error. A mobile robot, equipped with visual, ultrasonic and laser sensors, learns to servo to a designated target object. In less than ten minutes of operation time, the robot is able to navigate to a marked target object in an office environment. The central learning mechanism is the explanation-based neural network learning algorithm (EBNN). EBNN initially learns function purely inductively using neural network representations. With increasing experience, EBNN employs domain knowledge to explain and to analyze training data in order to generalize in a more knowledgeable way. Here EBNN is applied in the context of reinforcement learning, which allows the robot to learn control using dynamic programming.     

Toward interactive mobile synchronous learning environment with context-awareness service

Mobile synchronous learning is a new challenge in the e-learning domain. While popular mobile communication devices, such as cell phones, cannot directly accommodate traditional synchronous content due to the major limitation of display size, other constraints also restrict convenient interactions while using mobile devices in a synchronous learning environment. These problems have motivated the authors of this study to design a context-awareness synchronous learning system and to develop a corresponding pedagogical framework. Different than existing synchronous learning strategies, the proposed system enhances the feedback mechanism and implements an enhanced model for achieving mobile interaction in a synchronous learning environment. The enhanced model is named Interactive Service Module, which enables interactions between teachers and students via short message delivery. In the proposed synchronous learning environment, different kinds of learning devices are used to access the same source of synchronous content simultaneously. To accommodate the diversity of devices, several content styles have been developed and an appropriate style can be selected to a learner via a decision mechanism. This mechanism is based on fuzzy weighted average technique to measure the average computational power for each device. Finally, questionnaires were used to evaluate the usability of the proposed synchronous learning environment, and the results indicate that our system can facilitate synchronous learning by enabling students to access lessons conveniently and efficiently from a wide variety of locations, using common mobile communication devices.