The effectiveness of task-based language teaching on the writing skill: a systematic research synthesis

Introduction. This systematic research synthesis investigated the effectiveness of Task-based language teaching interventions on L2 writing performance of intermediate level students. Objective. The main aim was to determine the effects of independent variable manipulations of task-based language teaching on different modes of writing measured holistically and by means of CALF constructs. Methodology. The integration of qualitative and quantitative data was carried out by means of a systematic literature search and retrieval of published articles from 2010 until September 2011. Substantive and methodological features of the studies were coded and compared for the identification of commonly used practices and trends within the Task-based language teaching and L2 writing research domain. Results. The results indicate 3 major types of task-based interventions: TBLT framework, task complexity manipulations and task planning conditions have prevailed as treatments. Task complexity treatments have had beneficial effects on measures of fluency and lexical complexity while strategic planning and planning time also favored fluency in L2 writing. In turn, TBLT framework lesson treatments yielded large effects measured as Cohen’s d. Conclusion. In spite of the wide variety of treatment conditions and outcome measures for different modes of L2 writing, support is given to the importance of the pre-task cycle stage management of TBLT for intermediate level learners.

Decision Support for Plan Adaptation in Unforeseen Situations

Handling irregular phenomena might bring great complexity for involved teams. Variables considered for undertaking recommended procedures may yield many decision alternatives, challenging to deal with at planning time. Additionally, expectations regarding the phenomena handling may not match those observed. This means that the existing plan’s application may become inappropriate, and teams must be creative in performing actions and decision-making. An approach for on-the-fly adaptation of plans aims to assist teams in identifying and diagnosing unforeseen situations, besides adjusting previously developed plans at runtime. This approach was evaluated through experiments in the emergency management domain, and the initial results indicate its feasibility in dealing with unforeseen situations while handling irregular phenomena in complex environments.

Characteristics of expert vocalists’ practice

This study investigated expert vocalists’ approaches to practice in terms of planning, time, and strategy usage. Participants were 79 university voice professors and members of professional choirs. The researchers sent each participant the Vocal Practice Survey (VPS)which collected data on the participants’ professional backgrounds, attitudes toward specific practice strategies, and personal practice habits. Results indicated variety in expert vocalists’ approaches to practice, including number of practice sessions per week, length of practice sessions, and structure of practice sessions. Most participants reported using practice resources, especially a piano and a mirror. Participants reported a broad range of frequency in strategy use, with holistic practice strategies dominating. Comments from participants indicated that group rehearsals also served as individual practice opportunities, that there were differences between students’ and experts’ practice, and that an important role of practice was facilitating vocal health. The findings of this study provide a point of reference for comparing vocal practice to instrumental practice and for further development of research of vocal musicians at varying levels of expertise. The researchers also provide recommendations for music educators regarding the instruction and promotion of effective individual vocal practice.

An Improved Timed Elastic Band (TEB) Algorithm of Autonomous Ground Vehicle (AGV) in Complex Environment

In recent decades, the Timed Elastic Band (TEB) algorithm is widely used for the AGV local path panning because of its convenient and efficiency. However, it may make a local detour when encountering a curve turn and cause excessive energy consumption. To solve this problem, this paper proposed an improved TEB algorithm to make the AGV walk along the wall when turning, which shortens the planning time and saves energy. Experiments were implemented in the Rviz visualization tool platform of the robot operating system (ROS). Simulated experiment results reflect that an amount of 5% reduction in the planning time has been achieved and the velocity curve implies that the operation was relatively smooth. Practical experiment results demonstrate the effectiveness and feasibility of the proposed method that the robots can avoid obstacles smoothly in the unknown static and dynamic obstacle environment.

Path Planning of Mobile Robots in Warehouse Logistics Relying on Computer Multimedia 3D Reconstruction Technology

Because traditional methods are difficult to solve the problems related to the path planning of logistics robots, this study proposes a method of using computer multimedia 3D reconstruction technology to realize the path planning of warehouse logistics robots. Without fully considering the accurate movement path between points, according to the warehouse logistics robot, it is judged whether the starting point is at the exit. The planning problem of the movement path is converted into a TSP problem and a TS-TSP problem. Finally, the analysis of experimental results shows that the method proposed in this study converges faster than traditional algorithms and can quickly obtain the global optimal solution. At the same time, the warehousing logistics robot requires less path planning time and has strong practical application.

The effects of pre-task explicit instruction on L2 oral self-repair behaviour

The present study examines the effects of pre-task explicit instruction on second language (L2) oral self-repair behaviour while controlling for the effects of working memory. The participants were 121 Iranian learners of English at incipient levels of language proficiency. Their working memory was measured using an operation span task and then they were randomly assigned to a control and an experimental group. Both groups performed a picture story-retelling task that was preceded by five minutes of planning time. During the planning time, the experimental group also received a grammar handout that explained English relative clauses. The instances of self-repairs were identified through stimulated recall interviews that immediately followed performance on the oral task. They were then classified into categories of global form repairs (FG-repairs), local form repairs (FL-repairs), and content repairs (C-repairs). A series of one-way ANCOVAs were run, the results of which indicated pre-task explicit instruction had significant and beneficial effects on FL-repairs and adverse effects on C-repairs. The covariate was only associated with repairing the target structure. The findings are discussed in light of the Extended Trade-off Hypothesis and confirm the view that pre-task explicit instruction tends to foster a focus on form at the expense of meaning.

Adaptive On-the-Fly Changes in Distributed Processing Pipelines

Distributed data processing systems have become the standard means for big data analytics. These systems are based on processing pipelines where operations on data are performed in a chain of consecutive steps. Normally, the operations performed by these pipelines are set at design time, and any changes to their functionality require the applications to be restarted. This is not always acceptable, for example, when we cannot afford downtime or when a long-running calculation would lose significant progress. The introduction of variation points to distributed processing pipelines allows for on-the-fly updating of individual analysis steps. In this paper, we extend such basic variation point functionality to provide fully automated reconfiguration of the processing steps within a running pipeline through an automated planner. We have enabled pipeline modeling through constraints. Based on these constraints, we not only ensure that configurations are compatible with type but also verify that expected pipeline functionality is achieved. Furthermore, automating the reconfiguration process simplifies its use, in turn allowing users with less development experience to make changes. The system can automatically generate and validate pipeline configurations that achieve a specified goal, selecting from operation definitions available at planning time. It then automatically integrates these configurations into the running pipeline. We verify the system through the testing of a proof-of-concept implementation. The proof of concept also shows promising results when reconfiguration is performed frequently.

Does Prewriting Planning Positively Impact English L2 Students’ Integrated Writing Performance?

This study compared English L2 writers’ (N = 111) performance on an integrated writing task from the Canadian Academic English Language (CAEL) Assessment under three prewriting planning conditions: required self-timed planning required fixed time planning, and suggested (i.e., optional) planning. The participants’ integrated essays were scored according to the CAEL writing bands by raters at Paragon Testing Inc. The effect of planning condition on the participants' planning time, writing time, and integrated writing scores were analyzed using MANOVA. The student interviews were analyzed using thematic content analysis. The results indicated that planning time was the only variable impacted by planning condition, with students in the required self-timed planning condition taking more time to plan before beginning to write. Students’ perceptions about prewriting planning are discussed in terms of implications for the teaching and assessment of L2 integrated writing.

A Bidirectional Interpolation Method for Post-Processing in Sampling-Based Robot Path Planning

This paper proposes a post-processing method called bidirectional interpolation method for sampling-based path planning algorithms, such as rapidly-exploring random tree (RRT). The proposed algorithm applies interpolation to the path generated by the sampling-based path planning algorithm. In this study, the proposed algorithm is applied to the path created by RRT-connect and six environmental maps were used for the verification. It was visually and quantitatively confirmed that, in all maps, not only path lengths but also the piecewise linear shape were decreased compared to the path generated by RRT-connect. To check the proposed algorithm’s performance, visibility graph, RRT-connect algorithm, Triangular-RRT-connect algorithm and post triangular processing of midpoint interpolation (PTPMI) were compared in various environmental maps through simulation. Based on these experimental results, the proposed algorithm shows similar planning time but shorter path length than previous RRT-like algorithms as well as RRT-like algorithms with PTPMI having a similar number of samples.

An investigation of teacher experiences in learning the project-based learning approach

Project-based learning (PBL) has a positive impact on student motivation, students’ perceived learning, and performance. However, many teachers are reluctant to adopt PBL. This mixed-methods study examined in-service teachers’ learning experiences of planning and implementing PBL situated in a graduate level PBL course and sought insight into the challenges and ways to overcome the challenges in implementing PBL in practice. Results indicate that teachers’ confidence about their ability to plan and implement a PBL project improved upon completion of the course. Nevertheless, teachers cited various obstacles, such as a lack of mentoring, planning time and implementation experiences, which had prevented them from complete implementation of PBL in teaching. Possible ways to overcome the challenges in adopting PBL include school support, opportunities for experience and practice with PBL, and peer collaboration. The study also showed that a semester-long course focused on designing and developing a PBL project of teachers’ choice was effective in helping increase their confidence and experience in potential implementation of PBL in classroom practice. This study contributes to the implementation of PBL in classrooms and teacher education as well as teacher professional development on the PBL approach.