Deep Learning: An Approach, Not a Single Method
The discourse on Deep Learning is increasingly discussed in the world of Indonesian education. However, as is common whenever a new term appears in education policy, many teachers feel anxious. Some worry that this approach will ‘erase’ the teaching methods they have used so far. Others imagine that Deep Learning is identical to one specific learning model that must be applied uniformly across all subjects.
Such concerns actually arise because Deep Learning is still often misunderstood. The Deep Learning approach is seemingly positioned as a new teaching method that must replace all old methods. In fact, Deep Learning is not a single method, but rather a framework or broad approach that provides direction for the learning process.
Therefore, the existence of Deep Learning should not kill the diversity of teaching methods and techniques. On the contrary, various pedagogical approaches can remain alive, develop, and run harmoniously under the umbrella of the same educational goals.
The core of Deep Learning lies not in the uniformity of teaching methods, but in the meaningfulness of learning. Students do not merely receive information to be memorised, but understand, internalise, reflect, and are able to use knowledge in real life. Learning becomes a process of forming a complete human being, not just a process of delivering subject matter.
Therefore, the most important thing is not whether the teacher uses group discussions, lectures, projects, experiments, presentations, simulations, or other methods. What is more important is whether the learning makes students think, engage, grow, and experience changes in perspective and behaviour. It is in this context that it is important to understand that each subject has different characteristics and emphases. Education cannot be run with a logic of uniformity.
Language subjects, for example, have different characteristics compared to subjects that emphasise procedural accuracy or specific technical skills. In learning English, the goal is not merely to understand explicitly or implicitly the rules of grammar or to memorise vocabulary.
What is far more important is the ability to understand and express meaning in communication, convey ideas, capture cultural context, and build social sensitivity through language.
Therefore, English teachers can use a wide variety of approaches. At certain times, the teacher may need to explain language structures directly so that students gain a clear foundation. On other occasions, the teacher can engage students in communicative exposure through discussions, role-playing, presentations, critical reading, interviews, storytelling, debates, reflective writing, or collaborative projects, so that students master language structures implicitly. All these methods remain relevant as long as they are directed towards meaningful learning.
Students who learn English through a simulated job interview, for example, do not only learn sentence structures or pronunciation. They also learn self-confidence, respect for the interlocutor, spontaneous thinking, and using language in a real-life context. Similarly, when students discuss short stories, films, or social issues in language class, they are actually learning to understand other people’s perspectives, building empathy, and developing critical thinking skills.
The same applies to Indonesian and regional language subjects. Language learning cannot stop at the ability to answer multiple-choice questions about linguistic rules. Language is essentially a means of building thought, culture, identity, and human relations. Therefore, reading literary works, writing opinions, discussing, giving speeches, making podcasts, or staging dramas can be an important part of Deep Learning if these activities help students understand life more broadly and realistically. With this perspective, the diversity of teaching methods becomes a school’s pedagogical wealth.
Unfortunately, in educational practice, there is often a tendency to simplify change into merely a change of terms or learning models. When a new paradigm emerges, an assumption arises that all teachers must use the same method. As a result, teachers are busier adjusting administrative formats than thinking about the quality of students’ learning experiences.
In fact, a good school is not one where all teachers teach with an identical pattern. A good school is one where all learning processes move towards the same educational goals, even though the paths may differ. An art teacher certainly does not have to teach like an English teacher. A physical education teacher does not have to use the same pattern as a science teacher. Even within the same subject, learning methods can differ according to objectives, materials, student age, and learning context.
What is needed is not uniformity of methods, but alignment of educational vision. This is where Deep Learning finds its relevance. Deep Learning provides a general direction that learning must be meaningful, actively involve students, develop character and competence, connect knowledge with real life, and foster lifelong learning abilities. Thus, the diversity of methods does not become a source of chaos, but rather a strength.
Teachers also do not need to feel that implementing Deep Learning requires them to start everything from scratch. Many teachers in Indonesia have actually