MiDTD: A Simple and Effective Distillation Framework for Distantly Supervised Relation Extraction

Relation extraction (RE), an important information extraction task, faced the great challenge brought by limited annotation data. To this end, distant supervision was proposed to automatically label RE data, and thus largely increased the number of annotated instances. Unfortunately, lots of noise relation annotations brought by automatic labeling become a new obstacle. Some recent studies have shown that the teacher-student framework of knowledge distillation can alleviate the interference of noise relation annotations via label softening. Nevertheless, we find that they still suffer from two problems: propagation of inaccurate dark knowledge and constraint of a unified distillation temperature . In this article, we propose a simple and effective Multi-instance Dynamic Temperature Distillation (MiDTD) framework, which is model-agnostic and mainly involves two modules: multi-instance target fusion (MiTF) and dynamic temperature regulation (DTR). MiTF combines the teacher’s predictions for multiple sentences with the same entity pair to amend the inaccurate dark knowledge in each student’s target. DTR allocates alterable distillation temperatures to different training instances to enable the softness of most student’s targets to be regulated to a moderate range. In experiments, we construct three concrete MiDTD instantiations with BERT, PCNN, and BiLSTM-based RE models, and the distilled students significantly outperform their teachers and the state-of-the-art (SOTA) methods.

Scaffolding Understanding of Scholarly Educational Research Through Teacher/Student Conferencing and Differentiated Instruction

This article reports the results of a qualitative study of the effectiveness of a critical reading instructional intervention based on differentiated instruction (DI) and teacher/student conferencing (TSC) in improving the participants’ understanding and evaluation of published educational research. A cohort of eleven (n = 11) novice graduate students took part in a 15-week course during which they critiqued several self-selected journal articles and reflected on their experience. Results of the thematic analysis of the participants’ reflection logs revealed that their’ initial feelings of apprehension and anxiety transformed into growth in their self-efficacy as consumers and designers of educational research. Likewise, the participants benefitted from scaffolding their challenges and the provision of feedback in becoming more proficient readers and in developing supportive relationships. The study implications, limitations, and suggestions for further research are discussed.

Toward Piano Teaching Evaluation Based on Neural Network

With the rise of piano teaching in recent years, many people participated in the team of learning steel playing. However, expensive piano teaching fees and its unique one-to-one teaching model have caused piano education resources to be very short, so learning piano performance has become a very extravagant event. The factors affecting music performance are varying, and there are many types of their evaluation such as rhythm, expressiveness, music, and style grasp. The computer is used to simulate this evaluation process to essentially identify the mathematical relationship between factors affecting music performance and evaluation indicators. The use of computer multimedia software for piano teaching has become a feasible way to alleviate the contradiction. This paper discusses the implementation method of piano teaching software, the issues of computer piano teaching, the computer teaching as one-way knowledge, and the lack of interaction. The neural network (NN) model is used to evaluate the piano performance and simulate teachers to guide students through their exercise. The performance of the proposed system is tested for the piano music of “Ode to Joy,” which is different from the collection of NN training samples, and is delivered ten times by another piano teacher, student A (piano level 6), and student B (piano level 5).

Emergency online school learning during COVID-19 lockdown: A qualitative study of adolescents’ experiences in Italy

The COVID-19 pandemic caused abrupt and profound changes to teaching and learning. The present study seeks to understand adolescents’ experiences of the emergency adoption of online school learning (OSL) during the first national lockdown in Italy. Sixty-four students in their final two years of high school were interviewed and content analysis was performed. The findings describe students’ views of the changes related to OSL according to structural, individual and relational dimensions. Schools’ lack of organization, overwhelming demands, as well as experience of difficulties in concentration, stress and inhibited relationships with teachers and classmates were among the challenges evidenced in the transition. OSL, however, has also made it possible to experience a new flexibility and autonomy in the organization of learning. The study stresses the importance of fostering adaptation of teacher-student relationships and collaborative learning in order to improve schools’ preparedness for digital transitions in and out of emergencies.

Improving Education for Innovation and Entrepreneurship in Chinese Technical Universities: A Quest for Building a Sustainable Framework

The global economic trends and the winds of technological change have elevated the status of integration between industry and education for innovation and entrepreneurship to that of being a national strategic priority of China. However, for a long time prior to that, the many differences between the industrial and educational systems have caused a rift between education for innovation and entrepreneurship and professional education, a profound disconnection between professional education and the local industries, and the subsequent disinterest of entrepreneurial mentors. In this paper, we analyze the status of education for innovation and entrepreneurship in Chinese technical universities. It is pointed out that technical universities should deepen the integration between the industry and education for innovation and entrepreneurship in order to mitigate the imbalance between the supply side of the higher education talent training and the demand side of industrial development. It is also argued that technical universities should change their talent training paradigm, which includes a makeover of the organizational structure and of the curricular system, as well as make amends in the innovation ecosystem with respect to the organization of incubation platforms and of teacher–student teams, in order to promote national and regional economic development, as well as social progress. A method to evaluate the performance of the education for innovation and entrepreneurship in Chinese technical universities, based on specific performance indicators including patents filled, publications, awards in competitions, and acquired funding and on certain non-specific ones including organizational arrangements and satisfaction rates, is presented and then applied to the specific case of the Changzhou Institute of Technology.

Specifying Learners’ Professional Needs in Academic Writing

The article examines the controversial procedure of analyzing the learner’s professional needs. Needs analysis is generally regarded as an invaluable tool for constructing a course syllabus. It might be really informative if the target situation analysis and present situation analysis are combined. Speaking about academic writing teaching for Russian non-academic students at the Bachelor Degree level, one should admit that students have no or limited experience of functioning in an academic area in English. Consequently, their responses to the questionnaires as one of the frequently used methods of target situation analysis are merely assumptions; and the answers could not be taken as objective and valid. The author presents a system of analyzing students’ needs within the framework of Academic Writing course: namely, distinguishes the stages that precede or follow teacher-student talks about their expectations, provides more objective practice of examining learners’ needs, and discusses ways of improving question-answer sessions/ interviews. Needs analysis practice that develops learners’ professional needs involves task-based learning, reflexive activities, and teaching to ask good questions. Bringing into life the analogy between customer development theory in management and needs analysis practice in education, it is possible to work out a fruitful strategy. Conducting needs analysis pertains equally to specifying and developing students’ needs in academic communication.

Fostering Students’ Well-Being: The Mediating Role of Teacher Interpersonal Behavior and Student-Teacher Relationships

Well-being has become extensively viewed as apprehension for administrations in the last decades and schools have been progressively realized as locations for encouraging well-being which is a considerable development in inquiries on mediations connected to learner well-being. In this way, the function of teachers has got specific consideration regarding students’ well-being, given the merits of teacher-student interactions. High-quality educator-learner relationships offer a support base for long-term learners’ education. Educator interpersonal behavior that makes learners feel supported and cared for is known as emotional support. These behaviors can help learners’ emotional and social needs; meet learners’ families, and being available when learners need additional help. This review attempts to consider the eminence of teacher interpersonal behavior and learner-teacher relations in the classroom and indeed illustrate their relationship and influence on students’ well-being. As a final point, this review can provide suggestions and recommendations for teaching participants in the scholastic context.