10th International Congress on Information and Communication Technology in concurrent with ICT Excellence Awards (ICICT 2025) will be held at London, United Kingdom | February 18 - 21 2025.
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Authors - Reena (Mahapatra) Lenka, Rajiv Divekar, Jaya Chitranshi Abstract - The performance measurement analysis system is suggested to overcome the problems various higher education sectors face in improving their performance. This performance measurement system satisfies all the requirements of scholars related to institute requirements. This system also satisfies the faculty’s needs as well as they can keep track of the student details, attendance, and marks, upload assignments, and have a fair idea regarding the students. Also, they can track how they can improve their performance. This system also satisfies the administration's need to keep students' records per the institutes' requirements. When followed and implemented in the higher education sector, this system would help improve the institute's performance to a greater extent, increasing its brand name.
Authors - Jaya Chitranshi, Rajiv Divekar, Reena (Mahapatra) Lenka Abstract - ‘Performance management’ should be the focus of any institution of ‘higher education’ to achieve its sublime objective of educating, training and steering mature minds. The purpose of transforming students into high-performance individuals can be achieved completely, when there are certain checkpoints and steps to the process of ‘‘performance management’’. The paper attempts to identify existing gaps in literature with respect to ‘performance management’ in ‘higher education’. This research paper proposes a nine-step model of ‘performance management’ for increasing performance of students in ‘higher education’. These steps are (i.) Goal-setting, where the targets should be set for students for one term; (ii.) Coaching and guiding, that should be done to make students achieve the goals set; (iii) Performance measurement, that should be done to assess performance with respect to goals set; (iv) Mentoring, that should be done to help students explore their strengths/potential/chances/ opportunities of improving performance with respect to set goals; (v) Counselling, that should be done to help students identify areas where they still lag or where their potential is still not used; to improve performance with respect to specific goals set; (vi) Performance measurement, that should be done to assess performance again; (vii) Performance Aggregate for the goal(s), that should be measured with respect to a specific goal, and for all goals then combined; (viii) Reward/ Advisory, that should be decided based on the aggregate of performance; (ix) New Goal(s)/ Revising and recalibrating goals-Based on the reward/ advisory and the aggregate of performance, new goals can be set/goals can be revised or recalibrated for the next term. It is extremely essential that ‘continuous feedback’ be provided to students in ‘higher education’ institutions, so that students get a clear direction towards improving their performance.
Authors - Jaya Chitranshi, Rajiv Divekar, Reena (Mahapatra) Lenka Abstract - One of the main objectives of higher education is to assist students improve their academic performance. This objective can only be accomplished when students consistently receive tailored feedback on how to improve their performance levels. This research-paper focusses on the process and model of performance feedback communication in higher education. The process-flow of performance feedback communication illustrates the input received through student, faculty, feedback type, login and model user. On the basis of the inputs, feedback-reports (student report, faculty report, feedback-type report and model user report) can be created and user login details can be checked. The step-wise model of performance feedback communication in higher education provides continuous performance feedback to students in higher education through 4 important steps. Step 1) Monthly Feedback collection-360 Degree, Step 2) Matching with Expectations, Step 3) Continuous Feedback Communication, Step 3. (A) Positive Feedback, Step 3. (B) Constructive Feedback, Step 3. (C) Supplement: Active Listening, Step 4.A.(i) Positive Feedback-script, Step 4.A.(ii) Positive Feedback-Mode of Communication-In public, Step 4.B.(i) Constructive Feedback-script, Step 4.B.(ii) Constructive Feedback-Mode of Communication-In private.
Authors - Eng Bah Tee, Insu Song Abstract - Mobile educational games have arisen as a fascinating tool to teach difficult concepts in an interactive and engaging manner. Mobile educational game uses a game type like puzzle, strategy, role-playing and so forth to drive the education of learning content. Currently game type is something selected by the game designer or programmer. Previous research study has mentioned that game type and lesson content is a critical area that requires more research. At the moment, a teacher or game designer is not too sure what game type would be best to teach a lesson on Geography or Mathematics. In fact, it has been found in the previous study that game type does have a significant impact on learning outcome and experience. To capitalize on the research gap for game type, we have therefore embarked on Stage 2 of our study to use artificial intelligence (AI). A machine learning model is employed to predict the evaluation score of the game type of mobile educational game employed to teach a subject lesson and to recommend the best game type for teaching the lesson. We then proceeded to Stage 3 and evaluated the performance of the AI model by creating a test set of twenty games and twenty undergraduates were recruited at an Indonesian university to evaluate the games. The average score of all mobile games evaluations is above the average of 3.5, thus proving the hypothesis H1 set out for Stage 3.
Authors - Robert Kudelic Abstract - The world of scientific publishing is changing; the days of an old type of subscription-based earnings for publishers seem over, and we are entering a new era. It seems as if an ever-increasing number of journals from disparate publishers are going Gold, Open Access that is, yet have we rigorously ascertained the issue in its entirety, or are we touting the strengths and forgetting about constructive criticism and careful weighing of evidence? We will therefore present the current state of the art, in a compact review/bibliometrics style, of this more relevant than ever hot topic, including challenges and potential solutions that are most likely to be acceptable to all parties. Suggested solutions, as per the performed analysis, at least for the time being, represent an inclusive publishing environment where multiple publishing models are competing for a piece of the pie and thus inhibiting each other’s flaws. The performed analysis also shows that there seems to be a link between trends in scientific publishing and tumultuous world events, which in turn has a special significance for the publishing environment in the current world stage—implying that academy publishing has potentially now found itself at a tipping point of change.
Authors - Jaya Chitranshi, Rajiv Divekar, Reena (Mahapatra) Lenka Abstract - To satisfy its high purpose of shaping, developing, and directing adult minds, an institution of higher learning should have ‘performance management’ as its top priority. When there are clear phases and benchmarks in the ‘performance management’ process, the aim of transforming students into high-achieving individuals can be adequately achieved. The paper's objective is to identify any research gaps in ‘performance management’ in ‘higher education’ and make recommendations for future courses using Bibliometric Analysis.
