Integrating Needs Assessment Within Next Generation E-learning Systems

Abstract

In this paper we outline a method for systematically addressing needs assessment (QUALISEM-PEOPLE), alongside a case study of its use within a medium sized, German company. The method was designed in order to provide guidance in analysing skill and role competences, particularly when elearning systems are being considered for training purposes. The method proved to be successful within the company and helped to profile actual and target qualification needs, as well as employee preferences. In addition, there were also a number of overall lessons that could be learnt from the case study. These mainly relate to the need to integrate needs assessment within the broader context of Human Resource Management (HRM) systems, as well as the importance of employee participation within the process. We end the paper with a discussion of possible extensions to our work as well as outstanding challenges within the area

Applying Blended Learning in an Industrial Context

“…Blended Learning proposes a mixture of learning activities consisting of self-steered learning activities, cooperative and collaborative learning activities, learning activities supported by online tutors, social learning activities, and traditional classroom teaching activities [3]. According to this definition, a modular blended learning approach for software engineering education, especially for teaching object oriented software development with UML, was defined and implemented (see Figure 1 for the product levels and phases of the program).…”

“…In the first phase, the educational program is designed and organized, integrating a detailed analysis of the learners skills, educational needs, and learning environment. The method used to analyze these fields is the skill profiling and analysis method "QUALISEM-People" [3] assuring content and instructional strategy of the program are defined based on objective information. This aims at increasing the acceptance level and thus the effectiveness of the learning program by satisfying objectively identified training needs.…”

Information Dissemination Prediction of College Students’ Learning Requirements Based on Mobile Social Network

“…Because mobile learning is a personalized and continuous training method which is free from the limitations of time and space, so it's particularly important to make accurate predictions and good plans for college students' requirements for mobile learning [7][8][9][10][11][12][13]. Initiators and subjects of the mobile learning requirements are college students who conduct learning activities to acquire knowledge of the learning targets, and the mobile learning platforms are providers of learning resources to meet the learning requirements of students [14][15][16][17][18][19][20]. There is a service receiver-provider relationship between college students and the mobile learning platforms, so taking the information dissemination and fluctuation of learning requirements between the two parties as the starting point of research to explore the information dissemination efficiency of college students' learning requirements under different conditions and study the prediction accuracy optimization method is a research direction that is innovative and groundbreaking.…”

A Dynamic Learning Interest Model for a Personalized Learning Requirement Analysis of College Students

“…This new style learning pattern can satisfy college students' personalized learning requirements in diverse directions, help improve their learning efficiency, and solve problems such as the time and space limits, as well as the unbalanced learning resource allocation [6,7]. To urge college students to learn actively and satisfy their needs for modern education and lifelong learning, the online education platforms should formulate reasonable teaching strategies to improve users' learning effect [8][9][10][11][12]. However, the randomness in college students' participation of online learning causes common problems such as improper learning resource allocation or unbalanced supply and demand to online education platforms [13,14], thus scientifically predicting college students' learning requirements, triggering their dynamic learning interest, and effectively improving their learning effect are important prerequisites for ensuring these platforms to develop stably, efficiently, and sustainably.…”