New directions for lifelong learning using network technologies

The requirements placed on learning technologies to support lifelong learning differ considerably from those placed on technologies to support particular fragments of a learning lifetime. The time scales involved in lifelong learning, together with its multi‐institutional and episodic nature are not reflected in today’s mainstream learning technologies and their associated architectures. The article presents an integrated model and architecture to serve as the basis for the realisation of networked learning technologies serving the specific needs and characteristics of lifelong learners. The integrative model is called a ‘Learning Network’ (LN) and its requirements and architecture are explored, together with the ways in which its application can help in reducing barriers to lifelong learning.     

Measuring change in career counseling: Validation of the <Emphasis Type="Italic">Career Futures Inventory</Emphasis>-<Emphasis Type="Italic">Revised</Emphasis>

This retrospective chart review study examined the factor structure of the Career Futures Inventory-Revised (CFI-R; Rottinghaus et al. in J Career Assess 20:123–139, 2012) and its utility as a career counseling outcome measure using a sample of 332 clients from a university career center. The CFI-R examines career agency and other career adaptability dimensions germane to clients’ career concerns. Confirmatory factor analysis results supported the proposed factor structure. Changes in CFI-R scale scores are reported for 116 clients who received counseling. The use of the CFI-R as an effectiveness outcome measure for individual, group, and classroom career interventions is addressed.     

Rhizomatic education and Deleuzian theory

Personal experience participating in a Community Massive Open Online Course (cMOOC) discussing rhizomatic education (Rhizo15) helped to ground some of the theoretical issues connected with trying to ‘apply’ Deleuzian work to education. Notions of connectivity and community as a learning resource are compared with the more abstract notion of a rhizome as an n-dimensional network in Deleuze and Guattari; a Deleuzian critique of objectivism is seen as transcending the persistent dualism of objectivity and subjectivity; Deleuzian critique of consensual thinking is seen to be relevant to a perceived problem with ‘group think’. A brief account of Semetsky’s ‘learning paradox’ leads to discussion of the suitability of the cMOOC structure for handling challenging material: participation, solidarity and engagement are encouraged, but opportunities are limited to pursue demanding and disciplined readings of Deleuzian work by excluding the positive and enlightening aspects of pedagogic authority. An example from debates on concept maps shows some neglected possibilities.     

Towards multimodal emotion recognition in e-learning environments

This paper presents a framework (FILTWAM (Framework for Improving Learning Through Webcams And Microphones)) for real-time emotion recognition in e-learning by using webcams. FILTWAM offers timely and relevant feedback based upon learner's facial expressions and verbalizations. FILTWAM's facial expression software module has been developed and tested in a proof-of-concept study. The main goal of this study was to validate the use of webcam data for a real-time and adequate interpretation of facial expressions into extracted emotional states. The software was calibrated with 10 test persons. They received the same computer-based tasks in which each of them were requested 100 times to mimic specific facial expressions. All sessions were recorded on video. For the validation of the face emotion recognition software, two experts annotated and rated participants’ recorded behaviours. Expert findings were contrasted with the software results and showed an overall value of kappa of 0.77. An overall accuracy of our software based on the requested emotions and the recognized emotions is 72%. Whereas existing software only allows not-real time, discontinuous and obtrusive facial detection, our software allows to continuously and unobtrusively monitor learners' behaviours and converts these behaviours directly into emotional states. This paves the way for enhancing the quality and efficacy of e-learning by including the learner's emotional states.     

Gardening as a learning environment: A study of children’s perceptions and understanding of school gardens as part of an international project

This article considers the impact of the early stages of an international project, Gardens for Life (GfL), on children’s perceptions of school gardening and on their learning. The project involved 67 schools in England, Kenya and India and focused on the growing of crops, recognising the importance of both the process and product of this activity in the different countries. The theoretical framework was derived from consideration of informal learning, and more specifically experiential learning, drawing on prior research undertaken in the context of school gardening. The research approach is characterised by the use of concept maps to uncover the characteristically different ways in which children discerned school gardening and to help to provide insight into their understanding of this activity. It was supported by contextual observation, interviews and children’s drawings to aid the interpretation and understanding. The study showed a positive impact on learning and on the perceptions of children towards school gardening in all three countries. It also highlighted the different perceptions, interpretations and understanding of school gardening in the different cultures and environments, as well as the various aspects of it which the children themselves highlighted.     

Psychometric Properties of Scale Scores and Performance Levels for Performance Assessments Using Polytomous IRT

With a focus on performance assessments, this paper describes procedures for calculating conditional standard error of measurement (CSEM) and reliability of scale scores and classification consistency of performance levels. Scale scores that are transformations of total raw scores are the focus of these procedures, although other types of raw scores are considered as well. Polytomous IRT models provide the psychometric foundation for the procedures that are described. The procedures are applied using test data from ACT's Work Keys Writing Assessment to demonstrate their usefulness. Two polytomous IRT models were compared, as were two different procedures for calculating scores. One simulation study was done using one of the models to evaluate the accuracy of the proposed procedures. The results suggest that the procedures provide quite stable estimates and have the potential to be useful in a variety of performance assessment situations.     

In‐school Experience Designed to Meet Individual Needs

Current policies at both the state and national levels emphasise the need for increased attention to teaching children with special needs and more extensive school‐based experience in teacher education courses. This paper reports an in‐school experience which was an integral part of an on‐campus subject that focused upon teaching children with special needs. It also addressed a range of issues currently of concern in pre‐service teacher education, including the nature of the in‐school experience, managing the needs of children with learning difficulties in an integrated classroom, overcoming the socialising effect of block practice teaching, reinforcing the relevance of campus‐based subjects, maintaining a balance between the formal teaching expectations and the nurturing roles of teachers, providing teacher educators with recent and relevant in‐school experience, and producing reflective teachers with an understanding and appreciation of the ‘art’ and the ‘science’ of teaching.     

Two New Statistics to Detect Answer Copying

Two new indices to detect answer copying on a multiple-choice test—S₁ and S₂—were proposed. The S₁ index is similar to the K index (Holland, 1996) and the K₂ index (Sotaridona & Meijer, 2002) but the distribution of the number of matching incorrect answers of the source and the copier is modeled by the Poisson distribution instead of the binomial distribution to improve the detection rate of K and K₂. The S₂ index was proposed to overcome a limitation of the K and K₂ index, namely, their insensitiveness to correct answers copying. The S₂ index incorporates the matching correct answers in addition to the matching incorrect answers. A simulation study was conducted to investigate the usefulness of S₁ and S₂ for 40- and 80-item tests, 100 and 500 sample sizes, and 10%, 20%, 30%, and 40% answer copying. The Type I errors and detection rates of S₁ and S₂ were compared with those of the K₂ and the ω copying index (Wollack, 1997). Results showed that all four indices were able to maintain their Type I errors, with S₁ and K₂ being slightly conservative compared to S₂ and ω. Furthermore, S₁ had higher detection rates than K₂. The S₂ index showed a significant improvement in detection rate compared to K and K₂.