Below Average Mathematics Student Improvement Program And The Classroom Of The Future

Contains a set of viewgraphs for a presentation on how artificial intelligence and other teaching aids can improve the quality of mathematics education

Web-based computer assisted laboratory instruction

The feasibility of computer-assisted instruction in a practical laboratory has been explored in this work. Computer assisted instruction (CAI), in which educational instruction is delivered through a computer, has been a popular area of research and development. Computer assisted laboratory instruction (CALI), on the other hand, has not been systematically studied in the past as literature reveals. In the work conducted in this research, the concept of CALI has been examined by developing a web-based multi-media CALI package for Control Systems laboratory that is used by around 100 students annually in the School of Electrical, Computer and Telecommunications Engineering, University of Wollongong. Some elements of Intelligent Tutoring Systems (ITS) have been also incorporated to increase the flexibility of the instruction provided. A systematic approach has been employed to develop the specifications of the package and design its structure to ensure its effectiveness. The latest tools in Web development have been employed to achieve all the defined specifications efficiently and systematically. The outcome is a system that has proved very effective in its operation and instruction for the students in the laboratory. In addition to the specific results and benefits produced directly as the result of employing the package in Control Laboratory, the study has also generated outcomes that are generic and can be considered in the application of the approach in any practical laboratory

Applications of Artificial Intelligence in Military Training Simulation

This report is a survey of Artificial Intelligence (AI) technology contributions to military training. It provides an overview of military training simulation and a review of instructional problems and challenges which can be addressed by AI. The survey includes current as well as potential applications of AI, with particular emphasis on design and system integration issues. Applications include knowledge and skills training in strategic planning and decision making, tactical warfare operations, electronics maintenance and repair, as well as computer-aided design of training systems. The report describes research contributions in the application of AI technology to the training world, and it concludes with an assessment of future research directions in this area

Experts on e-learning: insights gained from listening to the student voice!

The Student Experience of e-Learning Laboratory (SEEL) project at the University of Greenwich was designed to explore and then implement a number of approaches to investigate learners’ experiences of using technology to support their learning. In this paper members of the SEEL team present initial findings from a University-wide survey of nearly a 1000 students. A selection of 90 ‘cameos’, drawn from the survey data, offer further insights into personal perceptions of e-learning and illustrate the diversity of students experiences. The cameos provide a more coherent picture of individual student experience based on the totality of each person’s responses to the questionnaire. Finally, extracts from follow-up case studies, based on interviews with a small number of students, allow us to ‘hear’ the student voice more clearly. Issues arising from an analysis of the data include student preferences for communication and social networking tools, views on the ‘smartness’ of their tutors’ uses of technology and perceptions of the value of e-learning. A primary finding and the focus of this paper, is that students effectively arrive at their own individualised selection, configuration and use of technologies and software that meets their perceived needs. This ‘personalisation’ does not imply that such configurations are the most efficient, nor does it automatically suggest that effective learning is occurring. SEEL reminds us that learners are individuals, who approach learning both with and without technology in their own distinctive ways. Hearing, understanding and responding to the student voice is fundamental in maximising learning effectiveness. Institutions should consider actively developing the capacity of academic staff to advise students on the usefulness of particular online tools and resources in support of learning and consider the potential benefits of building on what students already use in their everyday lives. Given the widespread perception that students tend to be ‘digital natives’ and academic staff ‘digital immigrants’ (Prensky, 2001), this could represent a considerable cultural challenge

Instructional Strategies for Scenario-Based Training of Human Behavior Cue Analysis with Robot-Aided Intelligence, Surveillance, Reconnaissance

The U.S. Army desires to improve safety during Intelligence, Surveillance, Reconnaissance (ISR) operations by removing Warfighters from direct line-of-fire by enhancing ISR operational capabilities with unmanned systems, also known as Robot-Aided ISR (RAISR) (DOD, 2013). Additionally, RAISR presents an opportunity to fulfill ISR capability requirements of modern combat environments including: detection of High-Value Individuals (HVI) from safer distances, identification of baseline behavior, and interpretation of adversarial intent (U.S. Army, 2008). Along with the demand and projected acquisition of RAISR technology, there is the added need to design training requirements for system operation and task execution instruction. While documentation identifying specific training standards and objectives for ISR tasks utilizing unmanned systems is limited (DOD, 2013), simulation-based training has been identified as a critical training medium for RAISR (U.S. Army, 2008). ISR analysts will primarily conduct RAISR tasks via Indirect Vision Displays (IVD) which transition well into multimodal simulations (Salcedo, Lackey, & Maraj, 2014). However, simulation alone may not fulfill the complex training needs of RAISR tasks, therefore, incorporating instructional support may improve the effectiveness of training (Oser, Gualtieri, Cannon-Bowers, & Salas, 1999). One method to accomplish this is to utilize a Scenario-Based Training (SBT) framework enhanced with instructional strategies to target specific training objectives. The purpose for the present experiment was to assess the effectiveness of SBT enhanced with selected instructional strategies for a PC-based RAISR training simulation. The specific task type was the identification of HVIs within a group through behavior cue analysis. The instructional strategies assessed in this experiment, Highlighting and Massed Exposure, have shown to improve attentional weighting, visual search, and pattern recognition skills, which are critical for successful behavior cue analysis. Training effectiveness was evaluated by analyzing the impact of the instructional strategies on performance outcomes, including detection accuracy, classification accuracy, and median response time, and perceptions of the level of engagement, immersion, and presence during training exercises. Performance results revealed that the Massed Exposure strategy produced significantly faster response times for one subtle and one familiar target behavior cue. Perception results indicated that Highlighting was the least challenging instructional strategy and the Control offered the preferred level of challenge. The relationships between performance and perception measures revealed that higher levels of engagement, immersion, and presence were associated with better performance in the Control, but this trend did not always hold for Massed Exposure and Highlighting. Furthermore, presence emerged as the primary predictor of performance for select target behavior cues in the Control and Massed Exposure conditions, while immersion and engagement predicted performance of select cues in the Highlighting condition. The findings of the present experiment point to the potential benefit of SBT instructional strategies to improve effectiveness of simulation-based training for behavior cue analysis during RAISR operations. Specifically, the findings suggest that the Massed Exposure strategy has the potential to improve response time when detecting both familiar and novel targets. The results also highlight directions for future research to investigate methods to alter instructional strategy design and delivery in order to improve trainee perceptions of the instruction

THE EFFECT OF HAPTIC INTERACTION AND LEARNER CONTROL ON STUDENT PERFORMANCE IN AN ONLINE DISTANCE EDUCATION COURSE

Today’s learners are taking advantage of a whole new world of multimedia and hypermedia experiences to gain understanding and construct knowledge. While at the same time, teachers and instructional designers are producing these experiences at rapid paces. Many angles of interactivity with digital content continue to be researched, as is the case with this study. The purpose of this study is to determine whether there is a significant difference in the performance of distance education students who exercise learner control interactivity effectively through a traditional input device versus students who exercise learner control interactivity through haptic input methods. This study asks three main questions about the relationship and potential impact touch input had on the interactivity sequence a learner chooses while participating in an online distance education course. Effects were measured by using criterion from logged assessments within one module of a distance education course. This study concludes that learner control sequence choices did have significant effects on learner outcomes. However, input method did not. The sequence that learners chose had positive effects on scores, the number of attempts it took to pass assessments, and the overall range of scores per assessment attempts. Touch input learners performed as well as traditional input learners, and summative first sequence learners outperformed all other learners. These findings support the beliefs that new input methods are not detrimental and that learner-controlled options while participating in digital online courses are valuable for learners, under certain conditions

Computer aided learning for entry level accountancy students

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