Informatics in Education

This study aims to explore the usability of the virtual robotics programming curriculum (VRP-C) for robotics programming teaching. Pre-service computer science (CS) teachers were trained for robotics programming teaching by using VRP-C in a scientific education activity. After training, views of the participants were revealed by using a scale and an evaluation form consisting of open-ended questions. Results show that VRP-C is compatible with the curriculum for robotics programming teaching in schools, and pre-service CS teachers tend to use VRP-C in their courses. They think that VRP-C will be beneficial for robotics programming teaching in terms of content, functionality, and cost. Compatibility, visual design, feedback, time management, fiction, gamification, and cost are the characteristics that increase the usability of VRP-C. VRP-C can be used as an online tool for robotics programming training due to the necessity of transition to distance education because of the COVID-19 pandemic.

The aim of this study was to reveal pre-service teachers' experiences in learning robotics design and programming. Data were collected from 15 pre-service teachers through semi-structured interviews and analyzed using the content analysis method. Three themes were identified in this study: Course process, professional development and teaching children. The pre-service teachers indicated that they found opportunities to learn by doing and experience, enjoyed doing robotics activities and felt in flow in this process. They also expressed that the robotics programming course positively influenced their attitudes towards programming and improved their programming skills. They emphasized the importance of keeping their intrinsic motivation high by maintaining their individual efforts to solve problems. Moreover, they made various suggestions for teaching robotics to children. Implications are discussed in terms of practices for educational robotics in teacher training, and further research directions.

The purpose of this study was to examine students' experiences using Facebook as a learning management system during a course. The study participants were 18 junior education faculty students attending a compulsory distance education undergraduate course delivered by the Computer Education and Instructional Technology Department at a university in Turkey. Upon completion of the 14-week Facebook-based course, participants were requested to answer nine open-ended questions. The results of content analysis show some advantages and some problematic aspects to using Facebook as a learning management system (LMS). Most students were satisfied with their learning experience using Facebook. The students favoured some features and situations, while other students saw the same things as being problematic. They also appreciated the sharing of course materials, instant messaging, opportunity to upload files, having discussions and getting instant notifications. A few students had negative thoughts about sharing materials in terms of accessing pre-uploaded files. However, their thoughts about synchronous and asynchronous communication were all positive. In particular, all students favoured the instant Facebook communications with their instructor and engagement in discussions. Almost half of the students had positive thoughts about the usefulness of Facebook in education. When these positive thoughts were examined, the students were found to consider that Facebook could be used as a LMS because it has many similar features.

Social networks are progressively being considered as an intense thought for learning. Particularly in the research area of Intelligent Tutoring Systems, they can create intuitive, versatile and customized e-learning systems which can advance the learning process by revealing the capacities and shortcomings of every learner and by customizing the correspondence by group profiling. In this paper, the primary idea is the affect recognition as an estimation of the group profiling process, given that the fact of knowing how individuals feel about specific points can be viewed as imperative for the improvement of the tutoring process. As a testbed for our research, we have built up a prototype system for recognizing the emotions of Facebook users. Users' emotions can be neutral, positive or negative. A feeling is frequently presented in unpretentious or complex ways in a status. On top of that, data assembled from Facebook regularly contain a considerable measure of noise. Indeed, the task of automatic affect recognition in online texts turns out to be more troublesome. Thus, a probabilistic approach of Rocchio classifier is utilized so that the learning process is assisted. Conclusively, the conducted experiments confirmed the usefulness of the described approach.

In this paper we aim to describe the process by which our personalised web-based collaborative teaching/learning methodology (CECIP - Collaboration - Evaluation - Critical thinking - Individual assessment - learner Profile) evolved originating from Vygotsky's theory and based on the (C) collaborative construction of student's knowledge, (E) developing evaluation and assessment skills, (C) developing critical thinking skills, (I) integrating individual evaluation and (P) generating learner profile. Our CECIP methodology integrates individual learning style dimensions and their preferences into e-learning environment by filling out MBTI, Gardner, GEFT and Felder-Silverman questionnaires during our four-semester-research. The paper covers the theoretical foundations of Learning Styles giving analogies to preferred learning strategies. A three-part-research process is described through which the described CECIP model emerged: (1) analysing Learning Styles and Learning Management Systems that claim to support their work; (2) raising the background knowledge of students in cognitive psychology in order to improve design and evaluation methodologies of multimedia learning materials; (3) personalising tasks and assessment based on Bloom's Taxonomy.