Search results

The author proposed a mobile learning model of pervasive animated games which allows college students to learn via games accessed through a smartphone. It can develop the process of field observation and self-reflection to enhance learning effectiveness, and the motivation, and attitude of students towards learning.

The author proposed a model for teaching via pervasive animated games. The author used SPSS software and Pearson's correlation coefficients to explore different mobile learning strategies and their relationship with learning attitudes and achievement. Participants were vocational technology college students, who each experienced animated games in individual and group learning settings.

The results found that the learning performance of students in the individual learning group was better than that of the group learning group. A higher level of digital experience was associated with better learning performance, and a more positive attitude towards using mobile phones was associated with better learning performance.

The learning method still has its limitations, the learner's digital information level, learning mode, learning attitudes will have an impact on the student playing teaching pervasive animation games. Therefore, improving student information level is one of the important topics of teaching pervasive animation games and mobile learning.

The author proposed a mobile learning strategy based on pervasive animated games. The result in the strategy of mobile learning shows that the level of students' digital experience and the overall design of animated games are important criteria for successful implementation.

The purpose of this paper is to briefly describe a model of group learning, examine variables that stimulate a group to learn and determine the group's readiness to learn, and provide suggested interventions to enhance group readiness to learn.

This practical paper, based on a model of group learning and recent group, learning, and systems literature, examines what triggers groups to learn and what makes groups ready to learn, and then suggest interventions to enhance group readiness to learn. Learning requires that the group recognizes variables that trigger learning. These may be pressures or opportunities from outside the group or encouragement and direction from group members. In addition, the group needs to be ready to learn when the triggers occur. Readiness to learn is a function of the group's maturity, boundary permeability, and learning orientation.

Based on a review of the literature and the model, the paper suggests ways to diagnose learning triggers and readiness and propose interventions to increase general readiness to learn as well as the group's readiness to learn as the group is forming, when the group makes progress, and as the group concludes its work. Finally, the paper presents a case to demonstrate learning triggers and the importance of readiness to learn.

This paper fulfills an identified need by managers in organizations regarding understanding group learning, what triggers it, and how to enhance group readiness to learn and offers practical help to stimulating a group's readiness to learn.

Collaborative learning was examined as a pedagogy to determine if students could improve standardized exam scores when the professor led the sessions in class. The purpose of this paper is to design a quasi-experiment to test the predictive ability of this pedagogy using a randomly allocated treatment vs control group. An externally administered standardized exam was used as the instrument.

A post-positivist ideology was employed, quantitative data were collected from standardized exit exams scores and from the experiment factors. Descriptive statistics, correlation analysis along with a General Linear Model (GLM) ANCOVA were applied to test the hypothesis at the 95 percent confidence level.

A statistically significant model was developed using multiple regression in a Generalized Linear Model. The regression model developed in this study was able to capture 51 percent of variance on the exam score, using four predictors were (in order of importance): SAT, pedagogy, GPA, and gender.

The GLM regression model proved that collaborative learning as pedagogy could increase standardized exam scores, since the only variation between the treatment vs control group was the pedagogy. Prior ability was still the most influential factor in the model, but when it was controlled for, pedagogy (collaborative learning) was shown to help students in the test group make a significant increase in exam score.

Business schools and other disciplines could apply the collaborative learning as a pedagogy to help students increase high-stakes exam scores, regardless of their gender, age, or prior ability. Several ideas were mentioned for replacing existing high-stakes exams.

A high degree of experimental control was imposed and the common predictors identified in the literature were tested to control for confounding influences. The researcher reflected on what really worked as techniques within the collaborative learning pedagogy process.

The purpose of this paper is to present the design and first results of the integration of a web‐based system person‐centred group‐activity support system (PEGASUS) in university instruction, as a means for advancing person‐centred learning by supporting group activity. The PEGASUS is expected to help students and teachers in two distinct objectives: enhancing metacognition (students and teachers are supported to identify their learning and teaching preferences, which in turn is used as a framework for reflection), and group formation (the system suggests homogeneous or heterogeneous workgroups, supporting also teacher‐students negotiations of the final group synthesis).

First, a theoretical framework is built to reflect the process of transforming the principles for learner‐centred learning into a pedagogical model which becomes the basis for defining the PEGASUS specifications. Then, qualitative field evidence is provided from the initial integration of the system into the teaching process to support students' group activity.

From the pilot testing of PEGASUS it is evident that learning style‐based group formation might not be acceptable to all students in the typical classroom setting where students already know each other. The early implementation data indicate that not every student might accept the theory‐based grouping suggestions of the instructor.

The research is limited to qualitative and preliminary results from undergraduate as well as postgraduate students.

Systems like PEGASUS can initiate fruitful discussions among students and teachers on the role of learning styles in learning. However, group activity is a complex socio‐cognitive phenomenon that cannot be approached simply on the basis of students' learning styles. Still, such a system can help identify how students' learning styles can be of significance under certain conditions.

The paper describes the development of a web‐based system for personalised learning and system integration in everyday teaching.

Today, universities are using technological advances that have enabled them to change their traditional delivery methods. Computer supported collaborative learning permits students to undertake courses via the Internet. This allows students from all over the world to take part in a course where they can gather information not only from the instructor but also from their fellow students. Consequently, the traditional forms of teaching must be adapted to better serve the needs of virtual learning students. The virtual instructor must do more than just communicate information to the students. He or she must learn to support the collaborative process between the learners and to encourage them to work as a team. This article describes a model for facilitating virtual learning groups and presents a case study to illustrate the concepts of running such a group. In addition, a number of implications for planning and supporting virtual groups are presented.

The objective of this study is two‐fold. First, it provides guidance to educators and trainers on establishing a cooperative learning environment. Second, it examines final‐year undergraduate accounting students' opinions on the effectiveness of a cooperative learning environment in delivering generic skills for their future professional accountancy careers. In particular, the study examines relative perceptions of effectiveness between students of differing academic abilities.

A questionnaire was administered to elicit students' views on whether they believed cooperative learning had enhanced their generic skills development. The data collected were analysed using descriptive statistics and Mann‐Whitney U tests of differences.

Students found the cooperative learning approach beneficial in developing their generic skills. Further, no significant differences were found between the perceptions of the less and more able students.

The study addresses perceptions of the benefits derived from cooperative learning rather than measuring benefits using an objective measure of achievement. Therefore, an interesting extension of this work would be to chart changes in personal development as a consequence of implementing cooperative learning over a number of years.

The findings provide some level of assurance for educators in accounting and other vocational disciplines that students of different academic abilities believe they have enhanced their generic skills as a result of engaging in cooperative learning.

This paper provides guidance to educators on establishing a cooperative learning environment and provides empirical evidence on its contribution to the enhancement of generic skills.

Most academic work usually explains organizational learning as a simple translation of individual learning. To fill this gap, this article focuses on the analysis of organizational learning as an iterative process in which group learning level is important. In this way, the model of organizational learning and knowledge generation presented in this article integrates the ontological and epistemological dimensions of knowledge and may be useful for knowledge management in organizations.

Online learning continues to grow year after year and majority of the growth is seen in public institutions of higher education. The purpose of this book chapter is to acquaint the readers to group-based learning in an online environment as an innovative practice for engaged learning. Diverse facets of group-based learning are discussed such as role of instructors, role of learners, challenges of group-based learning and finally role of social media in designing such group-based learning projects. A comprehensive prototype application of a group-based learning project walks the readers through applying group-based learning in their respective courses at the undergraduate and/or graduate level. Finally some instructor designed rubrics for assessing group-based learning are shared for effective assessment of a group-based learning project.

The process of differentiating each of the dimensions of learning is demonstrated by the application of three possible conceptual frameworks for each dimension, which are based on the theories of learning, instruction, and environment. Multiple existing theories apply to each dimension of the curriculum, including one framework that is a synthesis of several related theories. The purpose of this chapter is to demonstrate how theories may be adapted into design templates and used to configure the components of the curriculum. The outcome of this process is to create coherent curricula through the practical application of theories of learning as design templates.

A blueprint template is presented to visualize the internal alignment, interconnectedness, and overall coherence of each curriculum. This template visually depicts the functional interactions between the curricular components as dynamic relationships. This tool reveals the design relationships within the curriculum for purposes of design and evaluation. For curriculum design purposes, this form is used to establish and maintain the alignment among the dimensions of a curriculum (horizontally in the template) as well as the interconnectedness of the components. Engagement with the learning process begins by translating the content of each learning objective into instructional objectives, which aligns the instructional components with each learning objective. The instructional objectives are configured to align the content and structure contained in the outcomes and objectives with the instructional components. In this curriculum design system, the instructional taxonomies of Bloom, Engelhart, Furst, Hill, and Krathwohl (1956) are adapted as design templates to demonstrate three strategies to configure the structure of the learning engagement dimension into three distinct purposes of developing cognition, skills, or values within each dimension (vertically in the template).

The learning experience in this curriculum demonstration differentiates three distinct instructional functions: the learning of thinking skills, the learning of performance skills, and the learning of values-based performance. A template adapted from credible theories of instruction configures the specified learning.

Three models also differentiate the learning environment dimension of a curriculum. The learning environment is structured to deliver learning through individual, cooperative, or collaborative processes. Although the environmental considerations mostly impact the activities through which learners interact with the content of the curriculum (reinforcement activities, assignments, assessments), the environmental factors influence all components of the curriculum and can be differentiated to promote and enhance learning. From the learner perspective, the learning environment is created by the dynamic interaction of all components of the curriculum to facilitate an unobstructed path to learning.