{"title":"Facilitating Comprehension of Non-Native English Speakers During Lectures in English with STR-Texts","authors":"R. Shadiev, Yueh-Min Huang, Ting-Ting Wu","doi":"10.1109/ICALT.2016.67","DOIUrl":"https://doi.org/10.1109/ICALT.2016.67","url":null,"abstract":"We provide texts generated by speech-to-text-recognition (STR) technology for non-native English speakers during lectures in English. We aim to test the feasibility of our approach. Our results show that participants who learned with STR-texts outperformed those who learned without them. Results also show no significant effect of STR-texts on post-test scores of the low and high ability participants after controlling for the effect of learning ability. Besides, there is no significant difference in cognitive load and anxiety of the low and high ability participants. Based on our findings several implications are made for the teaching and research communities.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"55 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128630020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Impact of a Mobile Augmented Reality Game: Changing Students' Perceptions of the Complexity of Socioscientific Reasoning","authors":"Hsin‐Yi Chang, Yuan-Tse Yu, Hsin-Kai Wu, Y. Hsu","doi":"10.1109/ICALT.2016.131","DOIUrl":"https://doi.org/10.1109/ICALT.2016.131","url":null,"abstract":"In this paper we introduce our newly developed mobile augmented reality game that engages students in investigating a socioscientific issue (SSI) to decide on remedies for a campus site on which part of the soil was hypothetically polluted by a nuclear accident. The game allows students to collect virtual radiation data and interview virtual characters on the campus. The results indicate that the students gained knowledge and perceived the SSI as not that complex after learning with the AR game.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"332 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115975683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Pilot Study of Students' Perceptions of Collaborative Knowledge Building in 21st Century Learning with Their Knowledge Building Behaviors","authors":"Pei-Shan Tsai, C. Chai, Yen-Yuan Chen, Ming-Hsien Lee, Jyh‐Chong Liang, Chin-Chung Tsai","doi":"10.1109/ICALT.2016.7","DOIUrl":"https://doi.org/10.1109/ICALT.2016.7","url":null,"abstract":"This study investigates the relationships between students' perceptions and their online behaviors after they were engaged in collaborative knowledge building activities for social studies. One hundred and seventy seven Singapore primary three and primary four students participated in this study and the results show that when interpreting students' collaborative knowledge building, their perceptions about knowledge play an important role. Students who possess a questioning attitude about the knowledge from text books or experts are likely to search for more available audio-visual resources.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128242668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Erin Walker, Victor Girotto, Younsu Kim, Kasia Muldner
{"title":"The Effects of Physical form and Embodied Action in a Teachable Robot for Geometry Learning","authors":"Erin Walker, Victor Girotto, Younsu Kim, Kasia Muldner","doi":"10.1109/ICALT.2016.129","DOIUrl":"https://doi.org/10.1109/ICALT.2016.129","url":null,"abstract":"A teachable agent is a learning companion that students teach about a domain they are trying to master. While most teachable agents have been virtual, there may be advantages to having students teach an agent with a physical form (i.e., a robot). The robot may better engage students in the learning activity, and if students take embodied action in order to instruct the robot, they may develop deeper knowledge. In this paper, we investigate these two hypotheses using the rTAG system, a teachable robot for geometry learning. In a study with 37 4th-6th grade participants, we compare rTAG to two other conditions, one where students use embodied action to teach a virtual agent, and one where students teach a virtual agent on a personal computer. We find that while there are no significant learning differences between conditions, students' perceptions of the agent are influenced by condition and prior knowledge.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126978433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Lessons Learned from Students' Cheat Sheets: Generic Models for Designing Programming Study Guides","authors":"I-Han Hsiao, Claudia López","doi":"10.1109/ICALT.2016.91","DOIUrl":"https://doi.org/10.1109/ICALT.2016.91","url":null,"abstract":"We survey across generations of work in authorized cheat sheets, and emphasize on extracting generic features for designing one. We construct generic models to address cognitive aspects of learning and focus on the content of knowledge components in the domain of programming language learning. We evaluate the models with real classroom study data and found that the amount of notes on a cheat sheet is associated with gains in students' declarative knowledge, but not procedural knowledge. We also discovered that working in creating new cheat sheets can help students to achieve better exam grades accumulatively beyond and above the effect of their performance in a prior exam. We discuss how these findings can guide the design of technology-based study guides.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131286856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kousuke Mouri, Fumiya Okubo, Atsushi Shimada, H. Ogata
{"title":"Bayesian Network for Predicting Students' Final Grade Using e-Book Logs in University Education","authors":"Kousuke Mouri, Fumiya Okubo, Atsushi Shimada, H. Ogata","doi":"10.1109/ICALT.2016.27","DOIUrl":"https://doi.org/10.1109/ICALT.2016.27","url":null,"abstract":"This paper describes visualization and analysis methods using educational big data collected by research project at Kyushu University in Japan. The project uses an e-book system called BookLooper, Moodle, and Mahara. Logs for this analytics were collected from 99 first-year students in an information science course at Kyushu University. The number of logs are collected approximately 330,000, and this paper visualize and analyze the collected logs. The purpose of this study is to predict students' final grade and to profile visualization and analysis results. The prediction of this study shows that it leads to discoveries of students who fail to make the grade.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131406904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Insights on the Interplay between Adaptive Learning and Learning Analytics","authors":"A. Mavroudi, M. Giannakos, J. Krogstie","doi":"10.1109/ICALT.2016.84","DOIUrl":"https://doi.org/10.1109/ICALT.2016.84","url":null,"abstract":"In this paper, we consider the key dimensions of learning analytics applications in adaptive learning. We then review recent publications on the topic and map them to the dimensions of the reference model. Twenty one peer-reviewed articles are identified and analyzed. The findings of the review suggest that interesting work has been carried out during the last years on the topic. Yet, there is a clear lack of studies on school education and in topics outside STEM. In addition, there is a lack of studies that do not focus solely on the (self) reflection of students or tutors. Finally, the majority of the studies included look at student performance, as an adaptation parameter. Yet, a new trend of taking into account more complex student behaviors, like collaboration, is emerging.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129852941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Yet Another Objective Approach for Measuring Cognitive Load Using EEG-Based Workload","authors":"Hao-Cheng Chang, I-Chun Hung, S. Chew, N. Chen","doi":"10.1109/ICALT.2016.145","DOIUrl":"https://doi.org/10.1109/ICALT.2016.145","url":null,"abstract":"This study conducted a preliminary investigation on the correlations between learners' EEG-based workload and their self-reported cognitive load in a multimedia learning context. An experiment including two learning tasks was conducted with 15 graduate students. The NeuroSky brainwave headset was used to collect participants' electroencephalography (EEG) data and using the theta/alpha ratio as brain workload during the learning tasks. On the other hand, a questionnaire was used to assess participants' self-reported cognitive load after the learning tasks. A paired samples t-test was used to test if there are any differences between the two learning tasks. The results show that cognitive load was significant, but the EEG-based theta/alpha ratio was not significant. In terms of the preliminary correlations, there are no significant results between the EEG-based theta/alpha ratio and cognitive load found. Future studies require more analyses of the EEG-based data, for example nonlinear approaches with a larger sample size.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128539559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Evaluation of Learner Performance During Practical Activities: An Experimentation in Computer Education","authors":"Rémi Venant, Philippe Vidal, J. Broisin","doi":"10.1109/ICALT.2016.60","DOIUrl":"https://doi.org/10.1109/ICALT.2016.60","url":null,"abstract":"This paper addresses learning analytics for evaluation of learners performance in remote laboratories. The objectives we identified to provide self-and social awareness while learners are practicing in their virtual learning environment are threefold: (1) the definition of a performance metric that requires no assessment tests, (2) the tracking of data to infer that metric in real time, and (3) the visualization of the performance metric without impacting learners' cognitive load. To support these needs, we propose (i) a metric related to the technical rightness of instructions carried out by learners, (ii) a generic learning analytics framework featuring an enriching engine able to infer indicators, and (iii) two distinct visualization tools. These proposals have been implemented in Lab4CE, our remote laboratory for computer education, and experimented in an authentic learning context. This experimentation showed that most students have significantly used both visualization tools, and that their usage decreased while the overall learners performance increased.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125398072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Scott Greenwald, Markus Funk, Luke Loreti, David Mayo, P. Maes
{"title":"EVA: Exploratory Learning with Virtual Companions Sharing Attention and Context","authors":"Scott Greenwald, Markus Funk, Luke Loreti, David Mayo, P. Maes","doi":"10.1109/ICALT.2016.56","DOIUrl":"https://doi.org/10.1109/ICALT.2016.56","url":null,"abstract":"Exploratory Learning with Virtual Companions Sharing Attention and Context (EVA) is a concept for mediated teaching and learning that sits at the intersection of exploratory learning, telepresence, and attention awareness. The companion teacher is informed about the attentional state and environment of the learner, and can refer directly to this environment through marking or annotation. To the learner, the companion is virtual -- either human or automatic -- and, if human, either physically copresent or remote. The content and style of presentation are tailored to the learner's momentary level of interest or focus, and her attention can be guided to salient environmental elements (e.g. visual) in order to convey desired information. We define a design space for such systems, which applies to learning in Augmented Reality and Virtual Reality, and can be employed as a framework for design and evaluation. We demonstrate this through trials with two proof-of-concept systems, one in AR and one in VR, with a human companion. We conclude that the EVA design space defines a powerful set of systems for learning and finish by presenting guidelines for making such systems maximally effective.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122929696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}